Remote Senior Software Engineer (LLM) - 34953

Turing; Manaus; Teletrabalho; BRL 120.000 - 160.000; Tempo parcial

Resumo da oferta

Turing is seeking a Remote Senior Software Engineer (LLM) with at least 3 years of professional experience to evaluate AI-generated code and enhance datasets for Large Language Models. This role allows for collaboration with AI researchers and focuses on software engineering challenges derived from real-world scenarios. Candidates will work part-time and are expected to have strong skills in software design and code evaluation.

Qualificações

• 3+ years of professional software engineering experience.
• Strong fundamentals in software design and coding practices.
• Proficient with code review processes.

Responsabilidades

• Review and compare model-generated code responses.
• Evaluate code quality and provide detailed rationales.
• Collaborate to identify ambiguities in model behavior.

Conhecimentos

Software design

Coding best practices

Debugging

Code quality assessment

Written communication

Descrição da oferta de emprego

Remote Senior Software Engineer (LLM) - 34953

Recife Turing Postado 2 dias atrás

Full Job Details

About Us:

Turing is one of the world’s fastest-growing AI companies, pushing the boundaries of AI-assisted software development. Our mission is to empower the next generation of AI systems to reason about and work with real-world software repositories. You’ll be working at the intersection of software engineering, open-source ecosystems, and frontier AI.

Project Overview:

We're building high-quality evaluation and training datasets to improve how Large Language Models (LLMs) interact with realistic software engineering tasks. A key focus of this project is curating verifiable software engineering challenges from public GitHub repository histories using a human-in-the-loop process.

Why This Role Is Unique:

Collaborate directly with AI researchers shaping the future of AI-powered software development.

Work with high-impact open-source projects and evaluate how LLMs perform on real bugs, issues, and developer tasks.

Influence dataset design that will train and benchmark next-gen LLMs.

What does day-to-day look like:

Review and compare 3–4 model-generated code responses for each task using a structured ranking system.

Evaluate code diffs for correctness, code quality, style, and efficiency.

Provide clear, detailed rationales explaining the reasoning behind each ranking decision.

Maintain high consistency and objectivity across evaluations.

Collaborate with the team to identify edge cases and ambiguities in model behavior.

Required Skills:

At least 3+ years of professional software engineering experience at top-tier product companies (e.g., Stripe, Datadog, Snowflake, Dropbox, Canva, Shopify ,Intuit, PayPal, Research at IBM/GE/Honeywell/Schneider etc. ).

Strong fundamentals in software design, coding best practices, and debugging.

Excellent ability to assess code quality, correctness, and maintainability.

Proficient with code review processes and reading diffs in real-world repositories.

Exceptional written communication skills to articulate evaluation rationale clearly.

Prior experience with LLM-generated code or evaluation work is a plus.

Bonus Points:

Experience in LLM research, developer agents, or AI evaluation projects.

Background in building or scaling developer tools or automation systems.

Commitment: ~20 hours/week (partial PST overlap required)

Type: Contractor (no medical/paid leave)

Duration: 1 month (starting next week; potential extensions based on performance and fit)

Rates: $40–$100/hour, based on experience and skill level.

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