Generalist reviewing and assessing domain - specific documents for Mercor. Providing structured feedback to help leading AI labs train and enhance frontier AI systems.
About the role
- GM co-op student modernizing diagnostic systems by migrating Microsoft content to Google Workspace, GitHub, Jira, and Confluence. Building AI-assisted automation and validating transformed data.
Responsibilities
- Analyze Microsoft Workspace files, SharePoint websites, and SharePoint lists to understand structure, content, relationships, and business purpose
- Define mapping rules between Microsoft Workspace products and Google Workspace equivalents
- Reproduce documents, spreadsheets, presentations, forms, and collaboration content in Google Workspace
- Redevelop SharePoint websites as equivalent Google-based sites while preserving usability, navigation, key content, and business requirements
- Convert SharePoint lists into approved solutions such as GitHub or Jira
- Identify content, fields, links, permissions, workflows, and dependencies requiring special handling
- Develop repeatable processes, templates, scripts, AI-assisted workflows, and automation to reduce manual effort and improve consistency
- Ensure migrated data is accurate, consistent, and maintainable
- Use approved AI tools for content analysis, field mapping, YAML generation, site and list conversion, documentation, and quality reviews
- Validate migrated content through comparisons, data checks, usability reviews, stakeholder feedback, and verification of AI-assisted outputs
- Document procedures, assumptions, mapping decisions, limitations, and follow-up actions
- Collaborate with technical teams, business stakeholders, and subject-matter experts to clarify requirements and resolve migration issues
- Follow GitHub version-control practices, including branching, pull requests, reviews, and clear commit documentation
- Support digital modernization of GM’s diagnostic ecosystem and improve its overall health
Requirements
- Currently pursuing a Bachelor’s degree in Computer Engineering, Computer Science, Electrical Engineering, Mechatronics, Robotics, Software Engineering, Applied Science and Engineering, Mechanical Engineering, or equivalent
- Enrolled in a co-op program and meet the program’s eligibility requirements
- Eligible to work full time hours, 40 hours a week, for a 4-, 8-, or 12-month term starting January 2027
- Legally entitled to work in Canada
- Must not require sponsorship to work in Canada now or in the future
- Familiarity with Microsoft Excel and Google Sheets, including tables, filters, formulas, and data organization
- Basic understanding of YAML, JSON, XML, or another structured data format
- Familiarity with Git and GitHub, including repositories, branches, commits, and pull requests
- Previous co-op or internship experience using AI tools as part of daily work
- Previous experience creating AI agents, including RAGs
- Ability to write clear prompts, evaluate AI-generated results, identify errors or unsupported assumptions, and apply human review
- Previous experience with Python, Jira, Confluence, and Markdown
- Ability to understand existing information structures and translate them into clear, maintainable designs
- Strong written and verbal communication skills
- Ability to work independently, manage priorities, and ask effective questions
- Ability to challenge norms and rapidly overcome challenges
- Creative talent and effective use of drawing tools to create images, graphs, and charts
Benefits
- Hybrid work arrangement
- Accommodation for applicants with disabilities
- Equal opportunity and inclusive workplace
- Role-related assessment and/or pre-employment screening information provided
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