All roles

Software Engineer (Trajectory) (Train AI Models Part Time!)

Remote · USA Full-time New today

• hackajob is collaborating with

  • *Mercor**

to connect them with exceptional professionals for this role.

  • Mercor is hiring experienced Software Engineers to support high-impact research collaborations with leading AI labs. Freelancers will contribute to building training datasets that improve AI model reasoning and problem-solving on real-world coding tasks. This is a unique opportunity to apply your software engineering expertise toward shaping the next generation of intelligent systems. ### About the Project You'll annotate frontier-model trajectories on SWE-bench–style tasks derived from real open-source repositories. Currently, closed-source models do not expose their internal reasoning traces, making it difficult to understand how LLMs approach problem-solving. To address this gap, you'll

econstruct and annotate the reasoning portions of model trajectories—using your own problem-solving process and the full task context to infer and infill the underlying thought process at each step. ### Key Responsibilities - Review model-generated code trajectories on realistic software engineering tasks - Reconstruct chain-of-thought reasoning that explains each step of the solution process - Annotate decision points, debugging logic, and problem-solving strategies - Use full task context (codebase, issue descriptions, test cases) to infer plausible reasoning - Ensure annotations reflect realistic developer thought processes and technical accuracy ### Ideal Qualifications - 2+ years of experience in software engineering, with hands-on debugging and problem-solving in real codebases - Degree in Software Engineering, Computer Science, or a related field (Bachelor's minimum; advanced degree preferred) - Strong proficiency in Python, JavaScript, TypeScript, or other common languages found in open-source projects - Familiarity with version control workflows (Git, PRs, issue tracking) - Comfortable articulating technical reasoning in clear, structured writing ### Project Timeline - Start Date: Immediate - Duration: 1–2 months - Commitment: Part-time (15–25 hours/week, with flexibility up to 40 hours/week) ### Application & Onboarding Process 1. Upload your resume 2. AI interview: A short, 15-minute conversational session to understand your background, experience, and interest in the role 3. Follow-up communication within a few days with next steps and onboarding details Apply today* and leverage your software engineering expertise to help build the future of AI-driven systems! Apply tot his job Apply To this Job

Related roles

Artificial Intelligence / Machine Learning Engineer

Remote · USA Full-time

Senior Machine Learning Engineer, Dash Agentic AI

Remote · USA Full-time

Senior Data Science Engineer / Senior Machine Learning Engineer

Remote · USA Full-time

Software Engineer, Machine Learning

Remote · USA Full-time

Sr. Machine Learning Engineer (Recommendation Systems)

Remote · USA Full-time

Senior Machine Learning Engineer - Edge AI

Remote · USA Full-time

Senior Staff Machine Learning Engineer, ML Understanding

Remote · USA Full-time

Machine Learning Engineer III

Remote · USA Full-time

Machine Learning Engineer, Presentation and Visual Optimization [Remote]

Remote · USA Full-time

Sr. Generative AI & Machine Learning Engineer

Remote · USA Full-time

Experienced Live Chat Customer Support Representative – Remote Opportunity at arenaflex

Remote · USA Full-time

Accounting Manager

Remote · USA Full-time

Director Title and Escrow - US Based Remote

Remote · USA Full-time

Experience Scheduling Specialist

Remote · USA Full-time

Frontend Vue.js Developer - Contingent

Remote · USA Full-time

Training and Content Specialist

Remote · USA Full-time

Senior Investigations Officer

Remote · USA Full-time

Experienced Customer Service Sales Representative – Life Insurance Benefits Advisor

Remote · USA Full-time

Experienced Part-Time Data Entry Specialist – Agriculture, Fishing, and Forestry Industry

Remote · USA Full-time

Tech Lead, Android Core Product - Vancouver, Canada

Remote · USA Full-time