Public listing

Scientific Python Developer (Remote)

Joblet-AI United Arab Emirates (Remote)
  • Work modeYes
  • ListedPosted 6 hours ago
  • SourceLinkedin

Role overview

About the role

Description supplied by the original job listing.

Role Title: Scientific Python Developer (Remote)
Role Type: Full-time
Location: Bangladesh, Brazil, Colombia, Egypt, Ghana, India, Pakistan, Indonesia, Kenya, Nigeria, Turkey, Vietnam
Role Overview:
We are 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.
Responsibilities:
1. 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
2. Design discriminative test cases that clearly differentiate correct from incorrect model outputs Run QC validation checks on 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)
3. Maintain high output quality with a low rework rate, targeting consistent L1 approval on first submission
4. Participate in sync calls for reviews, feedback sessions, and project standups during overlap hours
Required Qualifications:
1. Master's or PhD in Material science or related field.
2. Strong Python programming skills with experience in scientific computing
3. Ability to write rigorous, well-posed scientific problems with clear constraints and expected outputs
4. Attention to detail - tasks must meet strict rubrics for well-posedness, test case discriminativeness, scientific correctness, and determinism
5. Prior experience in AI data annotation, research, or scientific writing
6. Familiarity with LLM evaluation frameworks or coding benchmarks
7. Experience with libraries such as NumPy, SciPy, SymPy, or domain-specific scientific tools.
8. Published research or academic project experience in a STEM domain Quality Standards
Offer Details:
1. Commitments Required : Overlap of 4 hours with PST and 40 hrs/week
2. Engagement type : Contractor assignment/freelancer (no medical/paid leave)
3. Duration of contract : 8 weeks
4. Location : Bangladesh, Brazil, Colombia, Egypt, Ghana, India, Pakistan, Indonesia, Kenya, Nigeria, Turkey, Vietnam
What You’ll Do
1. 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
2. Design discriminative test cases that clearly differentiate correct from incorrect model outputs Run QC validation checks on the 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)
3. Maintain high output quality with a low rework rate, targeting consistent L1 approval on first submission
4. Participate in sync calls for reviews, feedback sessions, and project standups during overlap hours
Apply Now!

Skills
Python

Work arrangement
Yes

Skills from the listing

  • Python
  • LLM

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