Senior Python Developer
- Pay
- Pay not stated
- Open to
- Worldwide
- Apply
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- Skills
- python
- rlhf
- sft
- code review
- testing
- asyncio
What you'll do
This is data work for a foundational LLM company, done by someone who can really read Python. The ad explains the two kinds of output. For supervised fine-tuning you write or receive a prompt with code and questions, produce model responses and write the Python that solves them. For RLHF you pose questions to a model, compare two versions' outputs and write the feedback that goes back into training. The ad is explicit that you will not be building or fine-tuning LLMs.
Day to day it lists:
- Writing and maintaining clean Python for training and optimisation
- Running evaluations and analysing model performance
- Ranking AI responses to queries against set criteria and writing rationales
- Creating task-specific SFT datasets and optimal reference responses
- Working with researchers and annotators on RLHF and reward models
- Peer-reviewing code and documentation
Who fits
- 3+ years of strong Python
- Industry experience with code quality, formatting and good practice
- Experience with Python testing (unit, integration, property-based)
- Knowledge of multi-threading and async Python
- Comfort refactoring architecture without regressions, and debugging memory and concurrency issues
- Fluent conversational and written English
What it pays
The ad does not publish a rate. Turing sets rates per project, so the figure comes after matching; see Turing for how pay generally works there.
Worth knowing
Good:
- Hours are your choice of three options: 20, 30 or 40 a week
- Code-centric work with a stated evaluation process
- Fully remote
Less good:
- No rate published
- Initial term is 1 month, start expected the following week
- Minimum 4 hours a day with 4 hours of overlap with Pacific Time
- Contractor assignment with no medical or paid leave
- Long-running posting (first listed in January 2024), so the project may already be staffed in places
How hiring works
The ad describes about 75 minutes of evaluation: a 60-minute technical interview plus a 15-minute cultural and offer discussion.
About this listing
Posted by Turing in January 2024 and still open on 18 October 2026. Terms and interview format are Turing's own; the framing is ours. See Turing.
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