Stellenbeschreibung
About The Job
Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey .
Position: Mathematics & STEM Textbook QA Specialist (OCR LaTeX)
Type: Contract Compensation: $25--$40/hour Duration: 2--3 weeks Commitment: 15--40 hours/week
Role Responsibilities
- Validate math/STEM question--answer pairs extracted from textbook PDFs. Identify errors introduced by OCR or extraction.
- Compare extracted text to the source PDF. Correct transcription issues like symbols, subscripts/superscripts, and missing terms.
- Fix and standardize LaTeX formatting to ensure expressions render correctly and match the source.
- Extract and label relevant context such as problem statements, definitions, hints, solution steps, and short answers. Record correct PDF viewer page numbers.
- Revise raw textbook content into a clean QA format. Address demonstrative originals or missing equations/figures.
- Assess solution quality for correctness, completeness, and logical consistency. Flag gaps, incorrect steps, or mismatches with stated answers.
Qualifications
Must-Have
- Strong proficiency with LaTeX math formatting.
- Background in Mathematics, Physics, Engineering, or related STEM (BA/BS/Masters/PhD or equivalent rigor).
- Comfort reading and verifying multi-step mathematical reasoning.
- Excellent attention to detail and ability to follow a structured workflow exactly.
- Strong written communication for clear, concise technical notes.
Preferred
- Proof-based coursework (e.g., real analysis, abstract algebra, proof-based linear algebra).
- Experience as a TA/grader, tutor, contest solution writer, or math editor.
- Familiarity with common OCR failure modes in STEM text.
- Ability to handle advanced undergraduate/occasional graduate-level material.
Application Process (Takes 20--30 mins to complete)
- Upload resume
- AI interview based on your resume
- Submit form
Resources & Support
- For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome/welcome
- For any help or support, reach out to: support@mercor.com
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
