Company Description:

Curvia AI is a technology and AI solutions company that transforms complexity into opportunity through enterprise solutions, AI-powered automation, and data-driven insights. We build practical, scalable, and human-centered technology grounded in integrity, security, and responsible innovation.

Role Overview

Turing is building one of the most rigorous STEM AI training datasets in the industry. The SciCode project involves creating high-quality scientific coding tasks that are used to train and evaluate frontier AI models. As a SciCode Trainer, you will be directly contributing to cutting-edge AI research by authoring, implementing, and reviewing complex scientific problems across core STEM disciplines.

Offer details:

- Mode of work: Fully Remote
- Employment Type: Contract
- Commitments Required: Full-time. 40 hours per week with at least 4 hours PST overlap
- Start Date: Immediate
- Number of openings: 75
- Pay: US $180/task upon approval

Complex task expected to take 6 hours to complete

Skills:

- Master's or PhD in Physics. Solid Python programming skills with experience in scientific computing
- Ability to write rigorous, well-posed scientific problems with clear constraints and expected outputs
- Attention to detail - tasks must meet strict rubrics for well-posedness, test case discriminativeness, scientific correctness, and determinism




- Prior experience in AI data annotation, research, or scientific writing Familiarity with LLM evaluation frameworks or coding benchmarks Experience with libraries such as NumPy, SciPy, SymPy, or domain-specific scientific tools . Published research or academic project experience in a STEM domain Quality Standards

Responsibilities:

- Write scientific problem specifications consisting of one main problem and a minimum of 3 sub-problems, all logically connected and progressively building toward the main problem solution Implement verified golden solutions in Python with complete unit test coverage
- Design discriminative test cases that clearly differentiate correct from incorrect model outputs Run QC validation checks on the Turing Central Task Platform (CTP) including Tier 1 structure checks and Tier 2 quality rubrics Iterate on tasks based on QC feedback to meet Pass@K evaluation criteria across multiple LLM judges (GPT, Gemini, Nemotron)
- Maintain high output quality with a low rework rate, targeting consistent L1 approval on first submission
- Participate in sync calls for reviews, feedback sessions, and project standups during overlap hours

Specifics A Google Scholar profile link is mandatory. Please ensure it is included in the resume.

📌 Physics Specialist with Python (India)
🏢 Curvia AI
📍 India