Remote | STEM OCR Specialists — $25–$40/hour

We are sharing a specialised part-time consulting opportunity for STEM professionals with strong experience in mathematical reasoning, OCR validation, precise transcription, and LaTeX-based formatting.

This role supports an exciting collaboration with a leading frontier AI research laboratory focused on improving math and STEM reasoning through high-quality training and evaluation data built from public-domain textbooks.

Selected professionals will validate and repair extracted problem-solution content, compare OCR outputs against source textbook PDFs, correct transcription and formatting issues, and help ensure that mathematical and STEM materials are accurate, structured, and usable for advanced AI model training and evaluation.

Key Responsibilities

Professionals in this role may contribute to:

OCR Validation & Text Correction
Validate math and STEM question-answer pairs extracted from textbook PDFs and identify errors introduced by OCR or extraction workflows
Compare extracted text against source PDFs and correct transcription issues such as symbols, subscripts, superscripts, missing terms, and malformed expressions
Revise raw textbook content into clean QA format when original material is demonstrative or references missing equations or figures

LaTeX Formatting & Content Structuring
Fix and standardize LaTeX formatting so all expressions render correctly and match the source material
Extract and label relevant context including problem statements, surrounding definitions, hints, solution steps, and short answers
Record correct PDF viewer page numbers and maintain structured formatting across textbook-derived content

Quality Review & Mathematical Verification
Assess solution quality for correctness, completeness, and logical consistency
Flag gaps, incorrect reasoning steps, or mismatches between the solution and the stated answer
Maintain consistently high standards for precision, structure, and correctness across all assigned content

Ideal Profile

Strong candidates may have:
Strong proficiency with LaTeX math formatting
A background in Mathematics, Physics, Engineering, or a related STEM field through BA/BS, Master's, PhD, or equivalent rigorous training
Comfort reading and verifying multi-step mathematical reasoning, including proofs and textbook solutions
Excellent attention to detail and the ability to follow a structured workflow exactly
Strong written communication skills for clear and concise technical notes

Preferred qualifications

Proof-based coursework such as real analysis, abstract algebra, or 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, including misread symbols, broken equations, and malformed fractions
Ability to work with advanced undergraduate and occasional graduate-level material

Why This Opportunity

Contribute specialised STEM expertise to a cutting-edge AI collaboration
Help improve how advanced AI systems reason over mathematical and technical content
Work on high-impact training and evaluation data with leading AI researchers
Flexible remote work with quality-focused project structure and competitive hourly compensation

Contract Details

Independent contractor role
Fully remote with flexible scheduling
Hourly compensation of $25–$40 per hour
Minimum commitment of 15 hours per week, with potential for up to 40 hours per week
Approximate project length of 2–3 weeks
Work is structured and quality-focused, with correctness prioritized over speed
Projects may be extended, shortened, or concluded early depending on project needs and performance
Weekly payments via Stripe or Wise
Work will not involve access to confidential or proprietary information from any employer, client, or institution
Please note: We are unable to support H1-B or STEM OPT candidates at this time
Start date: Immediate

About the Platform

This opportunity is available through a leading AI-driven work platform that connects domain experts with frontier AI research projects.

Experts contribute to improving advanced AI systems by providing specialised expertise across real-world workflows, structured evaluation, model training support, and domain-specific content validation.

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