Python Expert - AI Evaluator
@ Braintrust

Hybrid
$120,000
Hybrid
Full Time
Posted 4 days ago

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XXXXXXXXX XXXXXXXXXXX XXXXXXXXX****** @braintrust.com
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Job Details

Project Description

This project involves reviewing AI-generated responses, evaluating technical accuracy and best practices, and providing expert feedback to train AI systems to write better code. You will work with various programming languages and coding challenges ensuring that the AI outputs are functional, efficient, and adhere to industry standards.

Compensation

Compensation is competitive and varies based on education level, institution, and prior experience.

Hiring Profile

  • BS, MS, or PhD with a significant focus on Computer Science (Required).
  • Expert in Python with strong grasp of algorithms, data structures, and debugging practices.
  • Expert-level English with excellent writing and fact-checking skills.
  • Experience using large language models (LLMs) and, preferably, RLHF annotation.
  • Prior Software Engineering experience is strongly preferred.
  • Familiarity with additional languages such as C#, Java, SQL, C++, TypeScript, PHP, C, Go, Bash, PowerShell, Rust, or R is a plus.

Application & Onboarding Process

Apply via the partner site. Braintrust will send an email with detailed instructions. A qualification exam (1–2 hours) and a project exam (1–2 hours) will assess your role-specific expertise and adherence to guidelines, with compensation provided upon passing each.

Commitment

Minimum commitment is 17–20 hours per week, with a recommended commitment of 8 hours per day based on project scope and timelines.

Key skills/competency

  • Python
  • Algorithms
  • Data Structures
  • Debugging
  • LLM
  • RLHF
  • Software Engineering
  • Technical Evaluation
  • Feedback
  • Multi-language

How to Get Hired at Braintrust

🎯 Tips for Getting Hired

  • Customize your resume: Highlight Python expertise and evaluation skills.
  • Study Braintrust processes: Understand exam and project guidelines.
  • Prepare examples: Show technical and analytical skills.
  • Follow application instructions: Submit via partner site promptly.

📝 Interview Preparation Advice

Technical Preparation

Review Python coding challenges.
Study algorithm and debugging practices.
Practice code evaluation techniques.
Update familiarity with LLM usage.

Behavioral Questions

Describe project collaboration experience.
Explain handling of critical feedback.
Share problem solving under pressure.
Discuss long-term commitment examples.

Frequently Asked Questions