Software Engineer (Trajectory) - Remote
Posted Today by Keystone Recruitment
Negotiable
Undetermined
Remote
United Kingdom
Summary: The role of Software Engineer - AI Research Annotation involves applying software engineering skills to enhance AI model reasoning through the review and annotation of coding tasks. The position is remote and offers flexible hours, focusing on the development of advanced AI coding capabilities. Candidates will work with real-world software engineering scenarios to document problem-solving processes and technical choices. The role requires a strong background in software development and the ability to articulate technical reasoning clearly.
Key Responsibilities:
- Review AI-generated code trajectories on SWE-bench style tasks
- Reconstruct step-by-step reasoning explaining solution approaches
- Annotate decision points, debugging strategies, and technical choices
- Use full codebase context (issues, tests, PRs) for accurate documentation
- Ensure annotations reflect authentic software engineering practices
Key Skills:
- 2+ years hands-on software development experience
- Strong proficiency in Python, JavaScript/TypeScript, or similar languages
- Experience debugging complex codebases and resolving issues
- Familiarity with Git workflows, pull requests, and issue tracking
- Ability to articulate technical reasoning clearly in writing
Salary (Rate): undetermined
City: undetermined
Country: United Kingdom
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
description: Software Engineer - AI Research Annotation
Location: Global Remote
Type: Hourly Independent Contractor
Hours: 15-25/week (flexible up to 40)
Join leading AI labs by applying software engineering expertise to improve model reasoning. Review real-world coding tasks and document problem-solving processes.
About the Project
Support development of advanced AI coding capabilities through structured dataset creation. Work with authentic software engineering scenarios from open-source repositories to capture realistic developer thought processes.
Detailed Responsibilities
- Review AI-generated code trajectories on SWE-bench style tasks
- Reconstruct step-by-step reasoning explaining solution approaches
- Annotate decision points, debugging strategies, and technical choices
- Use full codebase context (issues, tests, PRs) for accurate documentation
- Ensure annotations reflect authentic software engineering practices
Technical Requirements
- 2+ years hands-on software development experience
- Strong proficiency in Python, JavaScript/TypeScript, or similar languages
- Experience debugging complex codebases and resolving issues
- Familiarity with Git workflows, pull requests, and issue tracking
- Ability to articulate technical reasoning clearly in writing
Project Structure
- Duration: 1-2 months with extension opportunities
- Start: Immediate onboarding
- Onboarding: Resume review + 15-minute AI technical interview
- Pace: Self-scheduled within weekly commitment minimum
- Payment: Weekly via Stripe/Wise
Ideal Background
- Computer Science/Software Engineering degree (Bachelor's+)
- Experience with open-source contributions or repository analysis
- Understanding of software development lifecycles and testing
- Comfort working with technical documentation and specifications
Success Profile
Top performers receive rate increases and priority for future AI research projects. Join cohort of experienced engineers shaping next-generation coding AI.
Apply Now: Upload resume + complete brief technical screening. All qualified software engineers welcome regardless of background.