Software Engineer (Trajectory)

Weekday AI (YC W21); Canada; Remote; CAD 131,575 - 244,354; Part time

Benefits offered by this job

Flexible scheduling

Remote work

Weekly payments

Job summary

A leading AI consultancy is seeking experienced Software Engineers to assist in creating training datasets for AI models. This part-time role, based in Canada, demands a minimum of 2 years' experience in software engineering, strong skills in languages like Python and JavaScript, and the ability to articulate reasoning in writing. Ideal candidates will engage in various analytical tasks and have flexible remote work options.

Qualifications

• 2+ years of hands-on software engineering experience.
• Experience with real-world codebases.
• Ability to articulate reasoning in structured written form.

Responsibilities

• Review model-generated code on software engineering tasks.
• Reconstruct reasoning steps for solutions.
• Annotate key decision points and debugging logic.
• Analyze codebases and task context.

Skills

Proficiency in Python

Proficiency in JavaScript

Proficiency in TypeScript

Strong debugging skills

Analytical skills

Ability to articulate technical reasoning

Education

Bachelor's degree in Computer Science

Advanced degree preferred

Tools

Git workflows

Job description

This role is for one of our clients

Compensation: $70-$130 per hour

Location Requirements

GBR USA CAN AUT BEL FRA DEU LIE LUX MCO NLD CHE BGR CZE HUN MDA POL ROU SVK

We are seeking experienced Software Engineers to contribute to high-impact research collaborations with leading AI labs. In this role, you will help build high-quality training datasets that enhance AI models' reasoning and problem-solving capabilities on real-world software engineering tasks. This is a unique opportunity to apply your practical development experience to advance the next generation of intelligent systems.

Requirements

You will work on annotating frontier-model trajectories across SWE-bench-style tasks derived from real-world open-source repositories. Since many closed-source models do not expose internal reasoning traces, this project focuses on reconstructing and annotating the reasoning process behind model-generated solutions.

Using your own problem-solving expertise and the full technical context of each task, you will infer and articulate the underlying chain-of-thought that explains how a solution is derived step by step.

Key Responsibilities

• Review model-generated code trajectories on realistic software engineering tasks
• Reconstruct detailed reasoning steps that explain the solution process
• Annotate key decision points, debugging logic, and problem-solving strategies
• Analyze full task context, including codebases, issue descriptions, and test cases
• Ensure annotations reflect accurate, realistic developer reasoning and technical soundness
• Deliver structured, high-quality written explanations aligned with engineering best practices

Ideal Qualifications

• 2+ years of hands‑on software engineering experience working with real-world codebases
• Bachelor's degree in Computer Science, Software Engineering, or a related field (advanced degree preferred)
• Strong proficiency in Python, JavaScript, TypeScript, or similar commonly used open‑source languages
• Familiarity with Git workflows, pull requests, and issue tracking systems
• Strong debugging and analytical skills
• Ability to clearly articulate technical reasoning in structured written form

Project Details

• Start Date: Immediate
• Duration: 1‑2 months
• Commitment: Part‑time (15‑25 hours per week, with flexibility up to 40 hours per week)
• Fully remote with flexible scheduling

Application & Onboarding Process

• Submit your resume
• Participate in a short (approximately 15‑minute) AI‑based conversational interview to discuss your background and interest
• Receive follow‑up communication within a few days regarding next steps and onboarding

Contract & Payment Terms

• Engagement will be structured as an independent contractor agreement
• Work can be completed remotely on your own schedule
• Projects may be extended, shortened, or concluded early based on performance and business needs
• Work assignments will not involve access to confidential or proprietary information from any employer, client, or institution
• Payments are processed weekly via Stripe or Wise based on services rendered
• Visa sponsorship is not available; H1‑B and STEM OPT candidates cannot be supported at this time