Remote Software Engineer – Rust
Job descriptions & requirements
About the projects:
We are building LLM evaluation and training datasets to train LLMs to work on realistic software engineering problems. One of our approaches in this project is to build verifiable SWE tasks based on public repository histories using a synthetic approach with a human-in-the-loop, while expanding dataset coverage to include different types of tasks across programming languages, difficulty levels, etc.
About the Role
:We are looking for experienced software engineers (tech lead level) who are familiar with high-quality public GitHub repositories and can contribute to this project. This role involves hands-on software engineering work, including development environment automation, issue triaging, and evaluating test coverage and qualit
y
Why Join U
s?Turing is one of the world’s fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. You’ll be at the forefront of evaluating how LLMs interact with real code, influencing the future of AI-assisted software development. This is a unique opportunity to blend practical software engineering with AI resear
ch
What does day-to-day look li
- ke:Analyze and triage GitHub issues across trending open-source librari
- es.Set up and configure code repositories, including Dockerization and environment set
- up.Evaluate unit test coverage and quali
- ty.Modify and run codebases locally to assess LLM performance in bug-fixing scenari
- os.Collaborate with researchers to design and identify repositories and issues that are challenging for LL
- Ms.Opportunities to lead a team of junior engineers to collaborate on projec
ts.
Required Ski
- lls:Minimum 3+ years of overall experi
- enceStrong experience with at least one of the following languages:
- RustProficiency with Git, Docker, and basic software pipeline se
- tup.Ability to understand and navigate complex codeba
- ses.Comfortable running, modifying, and testing real-world projects loca
- lly.Experience contributing to or evaluating open-source projects is a p
lus.
Nice to
- Have:Previous participation in LLM research or evaluation proj
- ects.Experience building or testing developer tools or automation ag
ents.
Perks of Freelancing With T
- uring:Work in a fully remote enviro
- nment.Opportunity to work on cutting-edge AI projects with leading LLM comp
anies.
Offer D
- etails:Commitments Required: At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week, or 40 hr
- s/week)Employment type: Contractor assignment (no medical/paid
- leave)Duration of contract : 3 months; [expected start date is nex
t week]
Evaluation Process (approximately 75
- mins) :Two rounds of interviews (60 min technical + 30 min technical & cultural dis
cussion)
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