AI TRAINER – STEM (Life Sciences)
- Source: LinkedIn
- Planet Pharma
- Remote
- United States
- Full-Time
- Mid level
Job Description
AI Trainer – STEM
Location: Remote, USA
Category: Technology
Salary: Apply for details
Country: United States
Employment: Direct Hire/Perm
Worksite: On-Site
Apply For This Position
Job Description
AI Trainer – STEM
Join a groundbreaking opportunity to shape the future of artificial intelligence! We are seeking a dedicated and experienced AI Trainer – STEM to participate in a 12-week, fully remote engagement that directly impacts the development of cutting-edge AI models in science and engineering industries. This role offers a unique chance to leverage your expertise to train and validate AI systems, ensuring they operate with precision and real-world applicability.
About The Role
This is a high-impact, hands-on position where you’ll analyze real data, evaluate AI responses, and develop challenging reasoning problems used to enhance AI capabilities. Over the course of this 12-week sprint, you will work approximately 30-40 hours per week, contributing your scientific or engineering expertise to a pioneering project with top tech companies. Compensation is competitive, with pay of $125/hr, and the role is fully remote, offering flexibility and the opportunity to make a meaningful contribution from anywhere in the US, UK, or Canada.
Required Skills
- 5+ years of applied experience in a science or engineering discipline (e.g., mechanical, electrical, civil, materials, energy, chemical, environmental, physics).
- Hands-on experience working with real-world data, measurement files, CAD models, or simulation outputs, along with analysis tools like MATLAB, Python, R, SolidWorks, or spectroscopy software.
- Strong understanding of statistical and experimental reasoning, including experiment design and measurement error analysis.
- Excellent written communication skills, with the ability to work independently in a fully remote setting.
- Familiarity with AI and large language models (LLMs) at a user level is preferred.
- Genuine availability and commitment for 30-40+ hours weekly throughout the 12-week duration.
Nice To Have Skills
- Experience grading or creating training datasets for AI models.
- Previous involvement in AI training, data annotation, or validation projects.
- Background in process improvement, quality control, or industrial testing.
- Certifications or advanced degrees are a plus but are not mandatory.
Preferred Education & Experience
- Bachelor’s degree or higher in engineering, physics, chemistry, or related fields.
- Middle to late-career professionals, including semi-retired engineers/scientists or independent consultants, who own end-to-end data analysis processes and are accustomed to working in fast-paced, technical environments.
Other Requirements
- Availability to dedicate full-time effort for the duration of the 12-week project.
- Must pass paid skills assessment ($240) in order to be engaged on the project
- Ability to read and interpret complex scientific or engineering data accurately.
- This is a remote position; candidates should have a reliable internet connection and a dedicated workspace.
Take this exceptional opportunity to contribute to AI innovation and demonstrate your expertise on a meaningful, long-term project. If you’re ready to apply your skills in a dynamic environment and help shape the future of AI, we encourage you to seize this chance and submit your application now!
Equal Opportunity Employer
We are proud to be an equal opportunity employer. We welcome and encourage applications from all qualified candidates regardless of race, sex, gender identity or expression, disability, age, religion or belief, sexual orientation, or any other characteristic protected by applicable laws and regulations. It is our policy not to discriminate against any applicant or employee, and we are committed to fostering a diverse, inclusive, and respectful work environment across all locations in which we operate. We believe that diversity, equity, and inclusion are fundamental to our mission and enhance our ability to serve clients globally. If you have a disability or require any reasonable accommodations during the application or interview process, please inform your recruiter or contact us directly so that we can explore the appropriate arrangements.
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Skills
- MATLAB
- Python
- SolidWorks
- workspace
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