AI Trainer for Chemistry (College Degree Required)

Alignerr; Crowborough; Hybrid; GBP 60,000 - 80,000; Full time

Job summary

Join an innovative team shaping the future of AI in Chemistry! This role offers a unique opportunity to leverage your expertise while developing your AI skills. You will analyze AI-generated Chemistry content, solve complex problems, and ensure the accuracy of outputs. With flexible scheduling, your contributions will directly impact the advancement of AI in the field. This forward-thinking company values collaboration in a remote-friendly hybrid model, allowing you to work autonomously while connecting with a diverse team across the globe.

Qualifications

• Enrolled in or completed an Associate's degree or higher in Chemistry.
• Strong writing skills with attention to detail.

Responsibilities

• Analyze and provide feedback on AI-generated Chemistry outputs.
• Provide solutions for complex Chemistry problems.
• Identify biases and design tests for AI outputs.

Skills

Chemistry Expertise

Analytical Skills

Technical Writing

Problem Solving

AI and Machine Learning Interest

Education

Associate's Degree in Chemistry or Related Field

Job description

AI Trainer for Chemistry (College Degree Required)

Employer: Alignerr | Location: Crowborough | Salary: Competitive | Closing date: 1 May 2025

Sector: Finance | Function: Financial | Contract Type: Permanent | Hours: Full Time

Alignerr is a community of subject matter experts from several disciplines who align AI models by creating high–quality data in their field of expertise to build the future of Generative AI. Alignerr is operated by Labelbox, the leading data–centric AI platform for building intelligent applications. Teams leverage the Labelbox platform to incorporate the latest advances in generative AI and LLMs, with appropriate human supervision and automation.

Our customers are transforming industries such as insurance, retail, manufacturing/robotics, and healthcare. Our platform is used by Fortune 500 companies including Walmart, Procter & Gamble, Genentech, and Adobe, backed by investors like SoftBank, Andreessen Horowitz, B Capital, and others.

About the Role

Shape the future of AI in Chemistry. This innovative role as an AI Trainer – Chemistry offers a unique opportunity to leverage your subject–matter expertise and develop your AI skills. You will play a pivotal role in training AI models, ensuring the accuracy and relevance of Chemistry content generated by AI. Flexible scheduling allows your contributions to directly impact AI's advancement in Chemistry.

Your Day to Day

1. Educate AI: Analyze and provide feedback on AI–generated outputs related to Chemistry to improve the AI's accuracy and application to real–world problems.
2. Problem Solving: Use your expertise to provide solutions and explanations for complex Chemistry problems, such as balancing equations, reaction mechanisms, stoichiometry, thermodynamics, and organic structures.
3. Red Teaming: Identify potential biases, limitations, or inaccuracies in the AI's knowledge base. Design tests to ensure reliable and applicable outputs.
4. Work Hours: Create your own schedule depending on project length.

About You

• Enrolled in or completed an Associate's degree or higher from an accredited institution.
• Specialized in Chemistry or related fields such as Analytical, Biochemistry, Inorganic, Organic, Physical, Environmental, Materials, Medicinal, Theoretical, Polymer Chemistry, or Chemical Engineering.
• Strong English writing skills with a critical eye for detail.
• Professional experience in research, journalism, technical writing, editing, or similar roles.
• Interest in AI and machine learning concepts.

Additional Information

This is a freelance, hourly paid position. It is not an internship. Candidates must be authorized to work in their country; sponsorship is not provided. International students with a valid visa may apply, subject to discussion with advisors. Compensation varies by location.

Pay Range: $15 – $150 USD per hour

We operate in a remote–friendly hybrid model, with hubs in San Francisco, New York City, and Wrocław, Poland, fostering collaboration and connection while supporting asynchronous work and autonomy.

Data Privacy: Personal data provided during application will be processed according to Labelbox's privacy policy. Be cautious of suspicious communications and contact us for verification if needed.

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