Job Details
Posted 20 September, 2026
Job Id: 630555
AI Trainer – Data Science
Job Description
AI Trainer – Data Science
Are you a seasoned data science professional with a passion for training and validation? Join a dynamic team working on cutting-edge AI data annotation projects in a fully remote, 12-week engagement. This is your chance to leverage your industry expertise to shape the future of AI, working alongside innovative professionals and contributing to impactful real-world applications.
Role Overview:
We are seeking experienced AI Trainers with a strong background in data analysis, statistical modeling, and machine learning to help train and validate large AI models across various industries. This role involves working on data annotation workflows, assessing AI-generated responses, and refining models — all in a fully remote setting. Candidates should be self-directed, detail-oriented, and ready to commit 30-40 hours per week for a 12-week sprint. Participants will be paid via PayPal directly by the client, providing flexibility and timely compensation.
Required Skills:
- Minimum of 5 years professional experience in data science, analytics, machine learning, or related fields.
- Proficiency in Python and/or SQL, with the ability to read and write analysis code.
- Strong written communication skills and experience working independently in remote environments.
- Familiarity with AI and large language model (LLM) tools at a user level.
- Good understanding of data annotation, validation workflows, and business processes related to AI training.
- Demonstrable experience in data analysis, statistical reasoning, or applied modeling.
Nice to Have Skills:
- Advanced degrees in quantitative fields (optional but advantageous).
- Experience working within small companies, startups, or as an independent contractor.
- Prior involvement in AI training projects, data quality assurance, or data pipeline management.
- Additional familiarity with AI/ML tools beyond basic user-level knowledge.
Preferred Education and Experience:
- Bachelor’s degree or higher in Data Science, Computer Science, Statistics, or related disciplines.
- 5-10 years of hands-on industry or research experience in data science or analytics.
- Proven ability to work on complex data projects and contribute to AI model development and training.
Other Requirements:
- Candidates must be based in the US, UK, or Canada (confirm eligibility).
- Full availability for the duration of the 12-week sprint, committing 30-40 hours weekly.
- Reliable internet connection and self-motivation to work remotely.
- Must complete and pass an initial training session ~6-10 hours as well as a trial phase that encompasses ~10-15 hours of work – both sessions of work will be compensated.
Take this opportunity to apply your expertise in a meaningful, innovative project that influences AI development across industries. If you have the experience, the drive, and the curiosity to shape the future of AI, we want to hear from you–apply now and join a revolutionary team!
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.
Fraud Alert
Candidate safety is a top priority at Planet Pharma. The industry has seen an increase in people falsely representing themselves as recruiters to gather personal information from job seekers. For your safety, do not provide sensitive data to anyone you have not spoken with thoroughly, never provide banking information during the application process and always double check the email address of the Recruiter to ensure it’s from an official Planet Pharma domain (@planet-pharma.com, @planet-pharma.co.uk, and @ppgadvisorypartners.com) and not a domain with an alternative extension like .net, .org or .jobs.
