Chemical Engineer
DataAnnotation
Job Overview
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Job Description
About DataAnnotation
DataAnnotation is looking for a Chemical Engineer to join our team to train AI models. You will measure the progress of these AI chatbots, evaluate their logic, and solve problems to improve the quality of each model.
In this role you will need to hold an expert level understanding of chemistry. Other related fields include, but are not limited to: Research and Development Chemist, Formulation Scientist, Development Chemist, Analytical Chemist, Chemical Engineer, Medicinal Chemist, Biochemist, Process Development Chemist.
Benefits
- This is a full-time or part-time REMOTE position
- You’ll be able to choose which projects you want to work on
- You can work on your own schedule
- Projects are paid hourly starting at $40+ USD per hour, with bonuses on high-quality and high-volume work
Responsibilities
- Give AI chatbots complex chemistry questions and evaluate their outputs
- Evaluate the quality produced by AI models for correctness and performance
Qualifications
- Fluency in English (native or bilingual level)
- Detail-oriented
- Solid knowledge of general, organic, and physical chemistry concepts
- A current, in progress, or completed Masters and/or PhD is preferred but not required
Notes
Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. Only applicants in Canada will be considered for this role. This is an independent contract position.
Key skills/competency
- Chemical Engineering
- AI Model Training
- Chemistry Expert
- Analytical Chemistry
- Organic Chemistry
- Physical Chemistry
- Problem Solving
- Data Evaluation
- Research and Development
- Scientific Inquiry
How to Get Hired at DataAnnotation
- Research DataAnnotation's mission: Study their commitment to AI quality and model improvement, understanding their impact.
- Highlight chemistry expertise: Tailor your resume to showcase expert-level knowledge in general, organic, and physical chemistry concepts.
- Emphasize AI model evaluation: Detail any experience in assessing AI outputs, data quality, or problem-solving for technical systems.
- Showcase analytical skills: Prepare to discuss your detail-oriented approach and ability to critically evaluate complex scientific information.
- Demonstrate remote work readiness: Be ready to articulate how you manage your schedule and deliver high-quality work independently in a remote setting.
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