Freelance AI Trainer - Data Annotation Specialist

Mindrift brings together technical specialists and AI-driven projects from major technology innovators. The platform’s goal is to blend generative AI with real-world expertise from a global network. Role overview This part-time, contract position focuses on building and maintaining Python-based data scraping workflows for the Tendem project. The role is open to candidates in San Antonio, Texas, or working remotely from anywhere in the United States. As a Freelance Python Data Scraping Engineer, you will work within a hybrid system that combines AI and human input. Internally, this position is known as an AI Pilot, collaborating with Tendem Agents who manage routine tasks. The AI Pilot uses domain expertise and quality assurance skills to deliver reliable, actionable datasets. What you will do Oversee end-to-end data extraction workflows on complex websites, ensuring accurate and well-structured results. Utilize internal tools such as Apify and OpenRouter, along with custom Python scripts, to manage data collection, validation, and processing. Adjust extraction methods for dynamic or JavaScript-heavy sites, refining techniques as website behaviors evolve. Apply data quality checks, including validation, cross-source consistency, and adherence to formatting standards before delivering datasets. Scale up scraping operations for large data sets using batching or parallelization, monitor workflow stability, and address errors from minor site changes. Requirements Minimum of 3 years’ experience in data engineering, web scraping, automation, or a closely related technical field. Strong Python programming skills and practical experience with data extraction tools. Demonstrated ability to think critically and solve problems. High attention to detail and a strong focus on data quality. Compensation Earn up to $32 per hour, depending on experience and contribution speed. Actual pay depends on project scope, complexity, and required expertise. Other projects may offer different rates. How to apply Submit your application to this post. Qualified candidates may be invited to work on projects that align with their technical skills and availability. Projects include coding, automation, and optimizing AI outputs, contributing directly to practical AI applications.

Submit your CV in English and indicate your proficiency level. Role overview This freelance, project-based role at Mindrift focuses on evaluating, testing, and improving AI systems for leading technology companies. Assignments connect specialized optical engineering talent with AI-driven projects. The position is not permanent employment, and work is remote from San Antonio, Texas, or elsewhere in the United States. What you will do Create original computational physics problems modeled after real-world research workflows. Develop Python-based solutions using libraries such as Numpy, SciPy, and Sympy. Design computationally intensive problems that cannot be solved by hand in a reasonable time. Formulate advanced problems in mechanics, electromagnetism, thermodynamics, and quantum mechanics. Draw from authentic research challenges or practical physics applications. Validate solutions using Python and standard physics simulation libraries. Document each problem statement and provide verified, correct solutions. Requirements Degree in Physics (theoretical, experimental, or computational) or a related discipline. Proficiency in Python for numerical validation. Experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar tools is a plus. At least 2 years of professional experience in applied, research, or teaching roles. Background in numerical simulation techniques. Ability to design problems reflecting real research workflows in physics. Creativity in developing problems across multiple areas of physics. Understanding of physics modeling and approximation methods. Strong written English skills at C1 level or above. How to apply Submit your CV. Meet the qualification criteria. Join a project. Complete assigned tasks. Receive compensation. Project commitment During active project periods, expect to dedicate around 10–20 hours per week. Actual workload may vary and is not guaranteed outside of these phases. Compensation Earnings can reach up to $76 per hour, depending on expertise and the rate of task completion. Compensation varies by project scope, complexity, and required proficiency. Other projects on the Mindrift platform may offer different rates based on specific requirements.

Please submit your CV in English and specify your English proficiency level. Mindrift connects experienced professionals with project-based assignments to help technology companies test, evaluate, and improve AI systems. These roles are not permanent positions but offer flexible, freelance work. Role overview This freelance opportunity is designed for electrical engineers with strong Python skills who are interested in part-time, project-based work. The main focus is on designing and validating computational engineering challenges that mirror real-world engineering scenarios. Create engineering problems that simulate authentic processes and require Python programming for calculations and simulations Develop computationally intensive challenges involving numerical or iterative methods Focus on system design, optimization, or analysis in the problems you create Base each challenge on real research or practical engineering applications Validate solutions using Python and established engineering libraries Document each problem statement clearly and provide verified solutions Requirements Degree in Electrical Engineering or a related discipline Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar tools is a plus Minimum of 2 years of professional experience in applied work, research, or teaching Understanding of practical engineering constraints and approximations Strong written English skills at C1 level or higher Professional certifications such as CMME, SAS Certifications, CAP, and experience with international or applied projects are advantageous Project workflow Submit your application Complete qualification steps Join a project Work on assigned tasks Receive payment Time commitment Most project phases require an estimated 10-20 hours per week. Actual workload may vary depending on project needs and timing. Compensation Earnings can reach up to $69 per hour, depending on expertise and project complexity. Rates may differ by assignment based on scope and required skills. Location This is a remote contract role based in San Antonio, Texas, United States.

toloka-ai seeks a freelance AI Trainer who combines expertise in civil engineering with strong Python programming skills. This fully remote contract centers on supporting learners interested in artificial intelligence, with a focus on candidates based in San Antonio, Texas. Role overview This position involves sharing technical knowledge and practical experience to help others build their skills in AI. The work is project-based and offers flexibility in schedule and approach. What you will do Mentor and guide individuals exploring AI, using a background in civil engineering and Python to clarify concepts. Assist others in developing technical skills and understanding foundational topics relevant to artificial intelligence. Location This role is remote, with a preference for those located in San Antonio, Texas, United States.

Please submit your CV in English and specify your English proficiency level. This freelance, project-based role with Mindrift connects mechanical engineering professionals skilled in Python to contribute to AI projects for leading technology companies. Work is remote, with a focus on assignments for clients in San Antonio, Texas, United States. What you will do Design computational engineering problems that reflect real-world scenarios and processes Create challenges that involve Python programming for engineering calculations and simulations Develop tasks that require numerical methods or iterative approaches, ensuring computational intensity Build scenarios focused on system design, optimization, and analytical problem-solving Base assignments on actual research challenges or practical engineering applications Validate solutions using Python and standard engineering libraries Document problem statements and provide verified solutions Requirements Degree in Mechanical Engineering or a related discipline Proficiency in Python for numerical validation; experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or other domain-specific languages is a plus Minimum of 2 years of relevant experience (applied, research, or teaching) Solid understanding of practical engineering constraints and approximations Excellent written English skills (C1 level or above) Professional certifications (such as CMME, SAS, CAP) and experience with international or applied projects are advantageous Project workflow Apply Pass qualifications Join a project Complete assigned tasks Receive compensation Time commitment Active project phases typically require an estimated 10–20 hours per week. Actual workload may vary depending on project needs. Compensation Earn up to $69 per hour, with rates based on expertise and pace. Compensation varies by project, reflecting scope, complexity, and required skills.

Please submit your CV in English and indicate your level of English proficiency. Toloka AI, working with Mindrift, offers freelance, project-based assignments focused on advancing AI systems for technology clients. This contract role is temporary and centers on evaluating and improving AI through real-world engineering challenges. The position is remote and based in San Antonio, Texas, United States. Role overview This freelance assignment involves designing and validating material science problems that reflect actual engineering workflows. Assignments require both subject matter expertise and strong Python programming skills to create, test, and document computationally intensive tasks. What you will do Develop material engineering challenges based on authentic research questions or practical scenarios. Create problems that require Python programming for calculations, simulations, and numerical analysis. Ensure tasks involve computational complexity, using numerical methods or iterative solutions where appropriate. Design assignments related to system design, optimization, and analysis. Validate all solutions using Python and standard engineering libraries. Document each problem clearly and provide accurate, verified solutions. Requirements Degree in Material Science or a closely related discipline. Proficiency in Python for numerical validation. Experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar tools is a plus. Minimum of 2 years of professional experience in applied, research, or teaching roles. Solid understanding of engineering constraints and practical approximations. Excellent written English (C1 level or above). Project workflow Application Qualification Assessment Project Engagement Task Completion Compensation Time commitment During active project phases, expect to dedicate approximately 10–20 hours per week. Actual workload may fluctuate based on project requirements. Compensation Contributors may earn up to $76 per hour, depending on project complexity, contribution level, and pace. Compensation varies by assignment and expertise required. Other projects on the platform may offer different rates.

Please submit your CV in English and indicate your English proficiency level. Mindrift connects skilled professionals with project-based AI assignments for leading technology companies. These projects focus on assessing, evaluating, and improving AI systems. Participation is on a project basis and does not represent permanent employment. What you will do Create original computational mathematics problems that mirror real mathematical research workflows Design problems requiring Python programming to solve, using libraries such as Numpy, SciPy, or Sympy Ensure problems are computationally intensive and cannot be solved manually in a reasonable timeframe Develop problems involving complex reasoning in areas like number theory, combinatorics, graph theory, and numerical analysis Base scenarios on real-world research challenges or practical mathematical applications Validate solutions using Python and standard mathematical libraries Document problem statements clearly and provide accurate, verified solutions Requirements Degree in Mathematics (Pure or Applied) or a related field Proficiency in Python for numerical validation; experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or other relevant programming languages is also considered At least 2 years of professional experience in applied mathematics, research, or teaching Background in numerical methods and symbolic computation Ability to design problems reflecting authentic mathematical research processes Understanding of computational complexity theory Excellent written English skills (C1+ level) How to apply The application process includes: Apply → Pass qualifications → Join a project → Complete tasks → Get compensated. Time commitment Tasks typically require around 10–20 hours per week during active project phases. Actual workload may vary depending on project needs. Compensation Contributors may earn up to $76 per hour, depending on expertise and pace. Earnings vary by project scope, complexity, and required skills. Other projects on the platform may offer different compensation based on their requirements.

Toloka AI is looking for a Freelance AI Trainer with a strong background in biology and Python. This remote contract role is open to candidates based in San Antonio, Texas, or elsewhere in the United States. Role overview This position centers on training and improving AI models for applications in biology. The work involves applying both subject matter knowledge and Python skills to help shape technology that supports research and education in the life sciences. What you will do Use expertise in biology and Python to guide the development of AI models Contribute to projects that aim to advance tools for biological research and learning Requirements Strong knowledge of biology Proficiency with Python Interest in AI model training and improvement

We invite you to submit your resume in English, clearly indicating your level of English proficiency.Mindrift connects talented specialists with project-based AI opportunities for top-tier tech firms, focusing on testing, evaluating, and enhancing AI systems. Note: This role is project-based and does not offer permanent employment.Role Overview:Each project presents unique challenges, including but not limited to:Designing original computational physics problems that reflect genuine research workflows;Formulating problems requiring Python programming solutions (utilizing libraries such as Numpy, SciPy, and Sympy);Creating problems that are computationally demanding, ensuring they cannot be solved manually within practical timeframes (days or weeks);Developing intricate problems necessitating advanced reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics;Grounding problems in actual research dilemmas or applicable real-world physics scenarios;Verifying solutions through Python using standard physics simulation libraries;Writing clear and comprehensive problem statements along with verified correct answers.Candidate Profile:This opportunity is ideal for individuals with a physics background and Python expertise, seeking part-time, non-permanent projects. The ideal candidates will possess:A degree in Physics (Theoretical, Experimental, or Computational) or related disciplines;Proficiency in Python for numerical validation (knowledge of MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar programming languages is also acceptable);A minimum of 2 years of relevant experience, including applied, research, or teaching roles;Familiarity with numerical simulation techniques;Capability to design problems that emulate authentic physics research workflows;Creative problem-solving skills across various physics domains;Solid command of written English (C1+ level).Project Workflow:To participate, follow these steps: Apply → Pass qualifications → Join a project → Complete tasks → Receive compensation.Expected Commitment:For this project, contributors can expect to dedicate approximately 10–20 hours per week during active phases, contingent upon project requirements. Note that this is an estimate and not a guaranteed workload.Compensation:Participants in this project can earn up to $76 per hour, depending on their proficiency and contribution pace. Compensation may vary by project based on its scope, complexity, and the expertise required. Please be aware that other projects on the platform may offer different compensation rates based on their specific needs.

Mindrift connects chemistry experts with project-based AI work for leading tech companies. Projects focus on testing, evaluating, and improving AI systems. All roles are freelance and do not represent permanent employment. What you will do Create original computational chemistry problems that reflect real-world research workflows. Develop problems requiring Python programming solutions, using libraries such as numpy, scipy, and chemistry-specific packages. Ensure problems are computationally complex and not solvable manually within days or weeks. Design tasks that involve advanced reasoning in physical chemistry, quantum chemistry, and molecular modeling. Base problems on actual research challenges or practical chemistry applications. Validate solutions in Python using established computational chemistry methods. Write clear problem statements and provide verified solutions. Requirements Degree in Chemistry or a related discipline. Proficiency in Python for numerical validation. Familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar tools is also considered. At least 2 years of relevant experience in applied work, research, or teaching. Experience with numerical methods in chemistry. Understanding of computational chemistry concepts and techniques. Strong written English skills at C1 level or higher. How it works Submit an application and CV in English, including your English proficiency level. The process follows these steps: Apply Pass qualifications Join a project Complete assigned tasks Receive payment Project details During active project phases, tasks typically require 10-20 hours per week. Actual workload depends on project needs and may vary. Compensation Rates can reach up to $76 per hour, depending on expertise and contribution. Compensation varies by project scope, complexity, and the specialized knowledge required. Different projects may offer different rates based on their requirements.

Please submit your CV in English and indicate your English proficiency level. Mindrift offers project-based contract work for specialists interested in AI projects with leading technology companies. The primary focus is on testing, evaluating, and improving AI systems. This contract role is not a permanent employment position. Role overview The Freelance AI Trainer specializing in Statistics and Python will design original computational statistics problems that mirror real-world mathematical research. The work involves creating challenging tasks that require advanced Python programming, often using libraries like Numpy, SciPy, and Sympy. Problems should be computationally intensive, sometimes requiring days or weeks to solve, and should reflect authentic research scenarios or practical mathematical applications. Key responsibilities Create original statistics problems grounded in real research workflows. Develop problem sets that require Python programming to solve, using libraries such as Numpy, SciPy, and Sympy. Ensure problems are complex and computationally demanding. Incorporate advanced topics such as number theory, combinatorics, graph theory, and numerical analysis. Validate solutions with Python and established mathematical libraries. Document clear problem statements and provide verified solutions. Requirements Degree in Statistics or a related field. Proficiency in Python for numerical validation. Familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar tools is valued. At least 2 years of professional experience, which may include applied research or teaching. Strong written English skills at C1 level or above. Professional certifications (such as CMME, SAS Certifications, CAP) and international or applied project experience are considered a plus. How to apply Apply Pass qualifications Join a project Complete tasks Receive compensation Time commitment During active project phases, expect to dedicate about 10–20 hours per week. Workload may fluctuate based on project needs. Compensation Contributors can earn up to $73 per hour, depending on expertise and speed. Rates vary by project, considering scope, complexity, and required skills. Other projects on the platform may offer different pay structures. Location This is a remote, project-based contract. Candidates based in San Antonio, Texas, United States are welcome to apply.

Please submit your CV in English and indicate your level of English proficiency. toloka-ai, working through Mindrift, offers project-based freelance work for research physicists with Python skills. This role centers on testing, evaluating, and improving AI systems by creating and validating computational physics problems. Projects are temporary and do not constitute permanent employment. Key Responsibilities Develop original computational physics problems that reflect authentic research workflows. Create assignments requiring Python programming, often using libraries such as Numpy, SciPy, or Sympy. Design problems complex enough to require computational solutions rather than manual calculation. Build scenarios involving advanced reasoning in fields like mechanics, electromagnetism, thermodynamics, and quantum mechanics. Draw on real research issues or practical applications in physics for problem design. Validate solutions using Python and standard physics simulation tools. Document each problem statement clearly and provide verified solutions. Requirements Degree in Physics (theoretical, experimental, or computational) or a closely related field. Strong Python skills for numerical validation. Experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar libraries is valued. Minimum of 2 years of relevant experience in applied research or teaching. Background in numerical simulation techniques. Ability to design problems that mirror real-world research workflows. Creative problem-solving across multiple physics disciplines. Familiarity with physics modeling and approximation methods. Excellent written English at C1 level or above. Application Process Submit an application for the role. Complete the required qualifications. Join a project if selected. Work on assigned tasks. Receive compensation for completed work. Time Commitment During active project periods, tasks generally require 10–20 hours per week. Actual workload may vary with project demand and is not guaranteed outside active phases. Compensation Contributors can earn up to $76 per hour, depending on experience and pace. Compensation varies by project based on scope, complexity, and required expertise. Location This is a remote, project-based position. Candidates based in San Antonio, Texas, United States are encouraged to apply.

Please submit your CV in English and include your English proficiency level. toloka-ai, through Mindrift, offers freelance, project-based assignments for quantum research scientists with strong Python skills. These projects focus on testing, evaluating, and improving AI systems for leading technology companies. Roles are contract-based and not permanent employment. Project Scope Design computational physics problems that reflect real research workflows. Create problems requiring Python programming, using libraries like Numpy, SciPy, and Sympy. Ensure problems are complex and computationally intensive, taking days or weeks to solve manually. Develop challenges involving advanced reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics. Base problem scenarios on real research or practical physics applications. Validate solutions with Python and standard physics simulation libraries. Clearly document each problem statement and provide verified answers. Requirements Background in quantum research and strong Python programming skills. Degree in Physics (theoretical, experimental, or computational) or a related field. Proficiency in Python for numerical validation. Familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar tools is also valued. Minimum of 2 years of professional experience in applied research or teaching. Experience with numerical simulation methods. Ability to design problems that mirror real research workflows in physics. Creative approach to developing problems across multiple areas of physics. Understanding of modeling and approximation techniques in physics. Strong written English skills at C1 level or higher. Application Process Submit your application. Complete the required qualifications. Join a project. Finish assigned tasks. Receive payment. Time Commitment During active project periods, expect to spend approximately 10–20 hours per week. Actual workload may vary depending on project needs and is not guaranteed. Compensation Earnings can reach up to $76 per hour, depending on experience, project complexity, and pace. Compensation varies by project and is determined by the scope and required expertise. Location This is a remote contract role. Candidates based in San Antonio, Texas, United States are encouraged to apply.

Build something to be proud of.At Captivation, we pride ourselves on delivering precisely what our customers need, exactly when they need it. Our engineering team is dedicated to innovation and excellence in every solution we provide. We are currently seeking talented software developers who are passionate about making a difference while supporting our mission to protect our country. Job OverviewCaptivation Software is on the lookout for a driven and experienced DevOps Engineer to join our dynamic development team. The successful candidate will possess a robust understanding of Linux systems administration and familiarity with Big Data solutions, configuration management, automation, scripting, and AWS. As a DevOps Engineer, you will be instrumental in implementing infrastructure, automating deployment processes, and ensuring the reliability and scalability of our services. This position is primarily based on-site at our client location in San Antonio, TX, five days a week.If you are passionate about DevOps and eager to work with an innovative team, we invite you to apply for this exciting opportunity.

Position Summary: The Data Integration Engineer will take the lead in designing, constructing, and maintaining robust data pipelines and warehouse models that drive insightful analytics and operational reporting. You will seamlessly integrate various data sources—including databases, APIs, SaaS applications, and flat files—and develop efficient ELT/ETL processes in a cloud environment. Collaboration with analytics teams, application developers, and business stakeholders will be key as you transform requirements into reliable, production-ready datasets. Duties/Responsibilities: Data Pipeline Development Create and implement scalable ETL/ELT pipelines (both batch and near-real-time) to source data from databases, APIs, SaaS, and flat files into platforms like Snowflake and Azure Synapse. Utilize integration tools such as Azure Data Factory (ADF), Fivetran, CData Sync, and Boomi, enhancing capabilities with custom code as necessary. Produce clean, maintainable code primarily in SQL, with Python or PHP utilized as needed for custom connectors, transformations, or microservices. Enhance workflows for optimal performance, reliability, and scalability through effective partitioning, parallel processing, incremental loads, CDC, idempotency, and robust retry/rollback strategies. Oversee data warehouse platforms, including Azure Synapse and Snowflake, ensuring their smooth operation. Identify and resolve data pipeline failures and errors promptly. Data Warehouse Management Develop and sustain data models, schemas, views, and stored procedures; proficiently manage staging, core, and mart layers along with source-to-target mappings. Enforce data quality validation and monitoring practices (e.g., null/duplicate/range checks, schema drift detection, reconciliation). Address and troubleshoot identified errors with efficiency. Adopt and apply best practices in data warehousing (e.g., clustering, partitioning, cost governance, role-based access, tagging/lineage). SQL & Python Support Execute complex SQL queries, refactor existing queries (using window functions, CTE chains), and optimize performance through explain plans, pruning, and join strategies. Create and troubleshoot Python notebooks, ensuring seamless integration into pipelines, including aspects like packaging, scheduling, and secret management. Collaboration & Documentation Work closely with data analysts and stakeholders to clarify requirements and acceptance criteria, translating them into detailed technical designs. Maintain technical specifications, data flow diagrams, and operational procedures; contribute to documentation standards and reusable patterns.

Please submit your CV in English and include your English proficiency level. Toloka AI, working through the Mindrift platform, brings together skilled professionals for project-based roles supporting technology companies. Mindrift’s projects focus on testing, evaluating, and improving AI systems, giving contributors a chance to work on practical AI challenges. Role overview This Senior Python Developer - Code Migration Specialist position centers on migrating and testing large, multi-language codebases. The role calls for strong Python development skills, deep experience with Linux and Docker, and the ability to interpret code in C, Rust, and Go. Familiarity with LLM tools such as Roo Code or Claude Code is important for streamlining migration and development tasks. What you will do Create functional black box tests for complex codebases in multiple languages. Design and maintain Docker environments to ensure reproducible builds and tests across platforms. Track code coverage and set up automated scoring to meet industry standards. Apply LLMs (like Roo Code and Claude) to automate repetitive work, speed up development, and improve code quality. Requirements 5+ years as a Software Engineer, with a primary focus on Python. Advanced knowledge of pytest, including fixtures, session-scoped tests, and timeouts, plus experience designing black-box functional tests for CLI tools. Expertise in Docker, including reproducible Dockerfiles, user contexts, and secure workspace setup. Strong Linux and Bash scripting skills, with the ability to debug inside containers. Familiarity with modern Python tooling (uv, pyproject.toml, packaging). Ability to read and understand code in C, C++, Rust, and Go, with LLM support. Hands-on experience using LLMs (Claude Code, Roo Code, Cursor) to improve development cycles and create test cases. English proficiency at B2 level or above. Preferred Background in agent evaluation platforms or experience with MCP CLI. Tools and technologies Key tools include Python (pytest, uv, Pillow), Docker, Bash, Git Submodules, and Dagger. The role involves reading code in C, C++, Rust, and Go, and working with LLMs such as Claude Code, Roo Code, and Cursor. Additional tools: GitHub Codespaces, coverage.py, gcov, and kcov. Compensation and benefits Freelance, project-based work through Mindrift (powered by Toloka AI). Fully remote with a flexible schedule; set your own contributions (20-30 hours per week). Compensation varies by project. For this project, AI trainers can earn up to $80 per hour. Location: Remote , San Antonio, Texas, United States

Please submit your CV in English and indicate your English proficiency level. Mindrift connects skilled professionals with project-based AI work for top technology companies. The focus is on testing, evaluating, and improving AI systems. This is a contract position tied to specific projects, not a permanent full-time role. Role overview This Senior Python Systems Developer position centers on functional testing for large and complex codebases. The work involves designing and running black-box tests, setting up reproducible environments with Docker, and using large language models (LLMs) to enhance and automate development tasks. The ideal candidate is comfortable with Linux, Docker, and can interpret code in languages like C, Rust, or Go. Familiarity with iterative development tools such as Roo Code or Claude Code is valued, as is experience with migration tasks. What you will do Design and implement functional black-box tests for large codebases in various languages. Set up and maintain Docker environments to support reproducible builds and test runs across platforms. Track code coverage and configure automated scoring to match industry standards. Leverage LLMs (including Roo Code and Claude) to automate repetitive steps and improve code quality. Requirements Minimum 5 years as a Software Engineer, primarily working with Python. Strong hands-on experience with pytest (including fixtures, session-scoped tests, and timeouts) and black-box testing for CLI tools. Expert-level knowledge of Docker, including writing reproducible Dockerfiles, managing user contexts, and workspace security. Advanced Linux and Bash scripting skills, with the ability to debug inside containers. Familiarity with modern Python tooling such as uv, pyproject.toml, and packaging. Ability to read and interpret code in C, C++, Rust, or Go, with LLM assistance. Experience using LLMs (Claude Code, Roo Code, Cursor) for iterative development and generating tests. English proficiency at B2 level or higher. Preferred Background with agent evaluation platforms and MCP CLI. Tools and technologies Python (pytest, uv, Pillow), Docker, Bash, Git Submodules, C/C++/Rust/Go (for code reading), Dagger, GitHub Codespaces, LLMs (Claude Code, Roo Code, Cursor), coverage.py, gcov, kcov. Benefits and compensation Freelance, project-based work through the Mindrift platform (powered by Toloka AI). Fully remote and flexible: set your own schedule and contribution level (20-30 hours per week). Project-based pay. AI trainers on this project can earn up to $80 per hour. Location: Remote , San Antonio, Texas, United States

At Accenture Federal Services, our mission is to empower the U.S. federal government in creating a stronger, safer nation while enhancing the lives of its citizens. Our dedicated team of over 13,000 professionals is driven by a shared purpose to harness the infinite possibilities of technology and creativity for clients in defense, national security, public safety, civilian, and military health sectors. Become a part of Accenture Federal Services, a leading technology provider within the global Accenture family. Proudly recognized as one of Glassdoor's Top 100 Best Places to Work, we foster a collaborative and supportive environment where you are encouraged to belong, grow, and excel through hands-on experiences, certifications, and comprehensive training. Join us in making a meaningful impact that advances government missions and initiatives! The Role: Key Responsibilities:Lead the development of automated, real-time, self-healing data pipelines across various platforms while overseeing metadata repositories.Implement systems for automated error detection and alerting to maintain data accuracy and integrity.Assist client and delivery teams in integrating AI and other automation strategies.Oversee monitoring and maintenance of data pipelines, swiftly addressing data discrepancies.Manage a small team (2–3 members), including both local and remote personnel.Collaborate closely with clients to automate enterprise data pipelines and uphold data quality.Engage in client-facing roles, guiding technical discussions and ensuring timely delivery.Qualifications: U.S. Citizenship is required (no dual citizenship allowed).Must possess DoD Interim Secret clearance.Proficient in AWS, Palantir Foundry, and Databricks data engineering capabilities, particularly regarding system interfaces.Hands-on experience in building and maintaining automated data pipelines and monitoring systems.Experience in supervising or leading technical team members.Ability to thrive in a client-facing environment.Must be able to commute to San Antonio or reside within commuting distance.Preferred Qualifications: Active DoD Secret clearance Familiarity with GovCloud.Knowledge of DoD cyber requirements...

Please submit your resume in English and specify your proficiency level. Toloka brings together detail-oriented freelancers worldwide to contribute to projects that help train and improve artificial intelligence systems. The platform connects people with tasks in Generative AI for leading technology companies, relying on human input to advance AI’s accuracy and reliability. Role overview This freelance, remote position focuses on supporting AI development through human feedback. As an English Annotator - AI Trainer, tasks may include evaluating AI-generated content, checking facts, or comparing different responses. Project assignments depend on availability and Toloka’s current needs. Main responsibilities Review data sets, which may include text, images, or videos Label or categorize content following specific project instructions Identify and report content that is factually incorrect, sensitive, inappropriate, or unclear Project availability and compensation Assignments are project-based and depend on eligibility and current opportunities. Each project offers its own pay structure. For this project, AI Trainers can earn up to $23 per hour. Location This role is remote and open to candidates in San Antonio, Texas, United States.