Chemistry Expert

Alignerr Corp.; United States; Remote; USD 34,000 - 138,000; Full time

Benefits offered by this job

Fully remote

Asynchronous schedule

Rolling start

Job summary

Labelbox is seeking a remote Chemistry Expert contractor to label, organize, and review chemistry content for AI training. The role supports async work from the United States with a flexible, rolling start and a minimum of 15 hours per week.

The ideal candidate brings deep chemistry knowledge from research or teaching, plus experience in creating or critiquing scientific content for AI training and education projects.

Qualifications

• Deep expertise in chemistry from research, teaching, or advanced problem-solving.
• Experience building or reviewing complex scientific/educational content.
• Ability to translate chemistry concepts into clear, real-world applications.

Responsibilities

• Data annotation: Accurately label and categorize chemistry questions, concepts, diagrams, experiments, and other relevant data.
• Concept mapping: Connect key chemical principles and establish relationships between topics to help AI models understand the subject.
• Solution review: Analyze AI-generated answers to chemistry questions, identify errors, and provide feedback to improve model performance.
• Content development: Help build comprehensive training datasets covering a wide range of chemistry topics and levels.

Skills

Chemistry expertise

Data labeling

Clear communication

RLHF (bonus)

Job description

Chemistry Expert (Contract)

Remote (UnitedStates preferred) Shape the data that powers frontier AI

Labelbox

Quick facts

• Engagement - Hourly, at‑will contractor
• Schedule - Fully remote & asynchronous (min.15hrs/week)
• Pay Range (US) - $25–$100 per hour
• Start Date - Rolling — staffed as projects launch

What you’ll do

• Data annotation: Accurately label and categorize chemistry questions, concepts, diagrams, experiments, and other relevant data
• Concept mapping: Connect key chemical principles and establish relationships between different topics (e.g., organic, inorganic, physical, and analytical chemistry) to help AI models understand the structure of the subject
• Solution review: Analyze and verify AI-generated answers to chemistry questions or problems, identifying errors and providing clear feedback to improve model performance
• Content development: Help build comprehensive training datasets that cover a wide range of chemistry topics and difficulty levels

You’re a great fit if

• You bring deep expertise in chemistry (research, teaching, or advanced problem-solving)
• You’ve built or reviewed complex scientific, educational, or technical content (e.g., laboratory research, curriculum development, scientific publications, or similar)
• You communicate challenging chemistry concepts clearly and enjoy translating theory into real-world applications
• Bonus: Experience with data labeling, RLHF, or other AI training projects

About the role

• Flexible workload — work from anywhere, on your own schedule
• High impact — your craft directly improves models used by top AI labs & Fortune500 teams
• Clear ownership — know exactly what success looks like and have autonomy to deliver
• Growth potential — consistent high performers spearhead new programs and mentor incoming SMEs

Interview process

• Complete a screening with Zara, our AI interviewer in English, to learn more about your background and experience.
• Domain-specific Zara interview to assess your understanding of fundamental chemistry principles, your ability to analyze complex processes, and your skill in applying theoretical frameworks to real-world scenarios.

About Labelbox

Labelbox builds the data engine that accelerates breakthrough AI. Our platform, expert services, and marketplace let teams iterate on data as nimbly as they iterate on code, enabling safer, smarter models in production. We’re backed by SoftBank, AndreessenHorowitz, BCapital, GradientVentures, DatabricksVentures, and KleinerPerkins, and trusted by leading research labs and enterprises worldwide.