• Define and execute a research agenda focused on LLM evaluation and post-training, especially evaluation-driven model improvement • Design rigorous experiments to study how evaluation methodologies impact fine-tuning and post-training outcomes • Develop and validate evaluation frameworks for LLM and multimodal systems, including: benchmark/task design scoring methods judge/model-assisted evaluation human evaluation protocols robustness/stress testing • Lead research on advanced evaluation domains, including long-context, cross-modal, and dynamic multi-turn evaluations • Study the effectiveness and limitations of existing evaluation techniques, and propose improved methodologies with clear validity and scalability tradeoffs • Analyze model behavior and failure patterns; generate actionable recommendations for model improvement and evaluation redesign • Collaborate with AI/ML Research Engineers to translate research methods into scalable evaluation and post-training pipelines • Collaborate with Language Data Scientists to integrate human-in-the-loop and synthetic data/evaluation strategies into research programs • Engage with customer technical stakeholders to understand evaluation goals, review methodologies, and provide expert recommendations • Contribute to internal benchmark datasets, evaluation frameworks, and reusable research assets • Produce high-quality technical documentation, internal research reports, and client-facing materials explaining methods, results, assumptions, and limitations • Contribute to thought leadership and best practices in LLM evaluation, post-training, and GenAI quality measurement

Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation isproject-based, not permanent employment. What this opportunity involves You’ll create challenging coding test cases that push AI coding systems to their limits: - Review and refine realistic coding tasks based on provided production codebases with realistic scope, requirements and information sources  - Write comprehensive functional tests that validate actual end-to-end behavior and edge-cases, not just superficial checks - Craft “fair but hard” challenges where the AI has all the context it needs, but has to work for it (information scattered across files and external sources, complex reasoning required) - Analyze AI failures to understand what the model struggles with vs. what it masters - Iterate based on feedback from expert QA reviewers who score your work on 7 quality criteria What we look for This opportunity is a good fit for experienced developers, software engineers, and/or test automation specialists open to part-time, non-permanent projects. Ideally, contributors will have:  - Degree in Computer Science, Software Engineering or related fields - 5+ years in software development, primarily Python (pytest, async/await, subprocess, file operations) - Background in Full-Stack development, with an equal focus on building React-based interfaces and robust Back-end systems - Experience writing tests (functional, integration – not just running them) - Docker containers (running evaluations locally in containers) - CI/CD understanding (GitHub Actions as a user: triggers, labels, reading results) - English proficiency - B2 How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Effort estimate  Tasks for this project are estimated to take 20 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted. Payment - Paid contributions, with rates up to $80/hour* - Fixed project rate or individual rates, depending on the project - Some projects include incentive payments *Note: Rates vary based on expertise, skills assessment, location, project needs, and other factors. Higher rates may be offered to highly specialized experts. Lower rates may apply during onboarding or non-core project phases. Payment details are shared per project.

Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation isproject-based, not permanent employment. What this opportunity involves You’ll create challenging coding test cases that push AI coding systems to their limits: - Review and refine realistic coding tasks based on provided production codebases with realistic scope, requirements and information sources  - Write comprehensive functional tests that validate actual end-to-end behavior and edge-cases, not just superficial checks - Craft “fair but hard” challenges where the AI has all the context it needs, but has to work for it (information scattered across files and external sources, complex reasoning required) - Analyze AI failures to understand what the model struggles with vs. what it masters - Iterate based on feedback from expert QA reviewers who score your work on 7 quality criteria What we look for This opportunity is a good fit for experienced developers, software engineers, and/or test automation specialists open to part-time, non-permanent projects. Ideally, contributors will have:  - Degree in Computer Science, Software Engineering or related fields - 5+ years in software development, primarily Python (pytest, async/await, subprocess, file operations) - Background in Full-Stack development, with an equal focus on building React-based interfaces and robust Back-end systems - Experience writing tests (functional, integration – not just running them) - Docker containers (running evaluations locally in containers) - CI/CD understanding (GitHub Actions as a user: triggers, labels, reading results) - English proficiency - B2 How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Effort estimate  Tasks for this project are estimated to take 20 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted. Payment - Paid contributions, with rates up to $80/hour* - Fixed project rate or individual rates, depending on the project - Some projects include incentive payments *Note: Rates vary based on expertise, skills assessment, location, project needs, and other factors. Higher rates may be offered to highly specialized experts. Lower rates may apply during onboarding or non-core project phases. Payment details are shared per project.

Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation isproject-based, not permanent employment. What this opportunity involves You’ll create challenging coding test cases that push AI coding systems to their limits: - Review and refine realistic coding tasks based on provided production codebases with realistic scope, requirements and information sources  - Write comprehensive functional tests that validate actual end-to-end behavior and edge-cases, not just superficial checks - Craft “fair but hard” challenges where the AI has all the context it needs, but has to work for it (information scattered across files and external sources, complex reasoning required) - Analyze AI failures to understand what the model struggles with vs. what it masters - Iterate based on feedback from expert QA reviewers who score your work on 7 quality criteria What we look for This opportunity is a good fit for experienced developers, software engineers, and/or test automation specialists open to part-time, non-permanent projects. Ideally, contributors will have:  - Degree in Computer Science, Software Engineering or related fields - 5+ years in software development, primarily Python (pytest, async/await, subprocess, file operations) - Background in Full-Stack development, with an equal focus on building React-based interfaces and robust Back-end systems - Experience writing tests (functional, integration – not just running them) - Docker containers (running evaluations locally in containers) - CI/CD understanding (GitHub Actions as a user: triggers, labels, reading results) - English proficiency - B2 How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Effort estimate  Tasks for this project are estimated to take 20 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted. Payment - Paid contributions, with rates up to $80/hour* - Fixed project rate or individual rates, depending on the project - Some projects include incentive payments *Note: Rates vary based on expertise, skills assessment, location, project needs, and other factors. Higher rates may be offered to highly specialized experts. Lower rates may apply during onboarding or non-core project phases. Payment details are shared per project.