Sobre

• Type: Freelance/Contract | Remote | PST overlap required
• Fully remote, short-term contract role (5-8 weeks) requiring 40 hours/week with 4 hours of overlap with PST. You will work as a contractor on advanced LLM-focused AI projects for a leading global AI research partner.

About the project

• This project supports the development and evaluation of next-generation Large Language Models (LLMs). You will contribute to building high-quality training and evaluation datasets by solving complex problems, writing accurate and efficient Python solutions, and validating model reasoning across scientific and engineering domains. The work is highly analytical, detail-oriented, and directly impacts how modern AI systems reason, code, and solve real-world problems.

Domain tracks

This is a single role with multiple specialization tracks. Candidates will be aligned to one primary track based on background and experience

• Python / Machine Learning Track - Python-heavy problem solving, ML-focused coding, model-related logic and data workflows
• Scientific Coding - Physics (Computational Physics)
• Scientific Coding - Biology (Computational Biology / Bioinformatics)
• Scientific Coding - Mathematics (Computational / Applied Mathematics)
• Scientific Coding - Chemistry (Computational Chemistry)

Key Responsibilities

• Build and maintain robust, scalable, full-stack applications
• Take part in designing system architecture and engineering best practices
• Write clean, maintainable, testable code
• Collaborate with global engineering teams in agile workflows
• Participate in code reviews and drive improvements in code quality

Requirements

• Strong proficiency in Python with proven problem-solving ability
• 4+ years of hands-on Python experience in professional, academic, or research environments
• Experience solving non-trivial analytical, numerical, or algorithmic problems
• Ability to clearly explain logic and document solutions
• Availability for full-time commitment (40 hrs/week) with 4-hour PST overlap
• Ability to start immediately or within 1 week

Background aligned with at least one domain track

• ML / Data Science / Software Engineering or
• Computational Physics, Biology/Bioinformatics, Mathematics, or Chemistry

Nice to have (not mandatory)

• Machine learning or model deployment experience
• Prior work on AI/LLM-related projects
• Peer-reviewed publications (for scientific tracks)
• Experience with scientific Python libraries (NumPy, SciPy, Pandas, scikit-learn, PyTorch, etc.)
• Why Join?
• Engagement type: Contractor / Freelancer (no medical or paid leave)
• Duration: 5 to 8 weeks (with potential extension based on performance)
• Commitment: Full-time, 8 hours/day
• Compensation: Hourly (details shared later in the process)
• If you meet the criteria and are excited to take on impactful work with flexible hours, we’d love to hear from you, apply now to be considered for this opportunity.