Applied Sciences Expert - Document Analysis
- Toronto, ON, Canada
Remote
$50 CAD / hour
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Job details
- Pay
- $50 CAD / hour
- Workplace
- Remote
- Working hours
- 15–20 hours/week
- Posting language
- English
Original job description
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: Applied Sciences - Visual Document Understanding
Type: Contract
Compensation: $50/hour
Location: Remote
Commitment: 15–20 hours/week
Role Responsibilities
- Evaluate the accuracy and depth of AI-generated content in Physics, Chemistry, and Biology to strengthen reasoning and rigor in model outputs.
- Review complex scientific documents for alignment with domain principles and methodologies.
- Provide clear, structured feedback to AI research teams to improve training data quality and downstream performance.
- Develop evaluation rubrics and benchmarks for assessing AI-generated scientific tasks and solutions.
- Collaborate with subject matter experts to ensure consistency, relevance, and coverage across datasets.
- Work independently and asynchronously to meet deadlines while improving AI model performance.
Qualifications
Must-Have
- Expertise in Physics, Chemistry, or Biology.
- Experience in AI model evaluation.
- Strong analytical and problem-solving skills.
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
- 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.
More about this job
Responsibilities
The Applied Sciences expert at Mercor will check AI-written science content for accuracy and reasoning, and give structured feedback to AI research teams. They will also build evaluation rubrics and benchmarks and work independently to meet deadlines.
Requirements
Candidates need expertise in Physics, Chemistry or Biology, experience evaluating AI models, and strong analytical and problem-solving skills.
Skills
- AI model evaluation
- Scientific document review
- Physics
- Chemistry
- Biology
- Evaluation rubric development
- Benchmark design
- Structured feedback writing
- Analytical reasoning
- Problem solving
- Asynchronous work
- Subject matter collaboration
Categories
- Science & Research
- Technology
- Data & Analytics
- Education
Keywords
- AI model evaluation
- scientific document review
- Physics
- Chemistry
- Biology
- evaluation rubrics
- benchmarks
- AI training data quality
- applied sciences
- remote contract
- subject matter expert
- data annotation
Languages
- English