Data Science AI Trainer at Paro, Remote, £Hourly Rate

Data Science AI Trainer

Remote Contract / Project-Based $40–$125 per hour

Paro is seeking experienced Data Science professionals for remote, project-based AI training opportunities. This work gives data scientists the opportunity to use their real-world expertise to evaluate and improve how advanced AI models perform complex analytical and technical work.

Rather than performing traditional data science work for a single organization, you’ll create realistic professional tasks, evaluate AI-generated analyses and code, identify errors, and determine whether outputs meet the standards you would expect from an experienced practitioner.

What You’ll Do

• Develop challenging data science tasks based on real-world professional workflows.
• Build or anonymize supporting datasets, schemas, notebooks, metric definitions, and stakeholder materials.
• Evaluate AI-generated analyses, code, models, SQL queries, forecasts, and written conclusions.
• Compare AI-generated solutions and document where each succeeds or falls short.
• Develop detailed grading criteria and tests for technically correct deliverables.
• Identify issues such as data leakage, confounding, incorrect joins, inappropriate statistical tests, faulty validation approaches, fabricated data, or incorrect interpretation.
• Contribute across analytics, machine learning, experimentation, forecasting, and data engineering-adjacent work.

What We’re Looking For

• 2+ years of professional applied data science experience preferred.
• Bachelor’s degree or higher in a quantitative field completed or in progress.
• Working proficiency in Python and/or SQL.
• Ability to write, debug, review, and clearly explain your own analytical code.
• Experience in one or more of the following:
• Product or business analytics
• Business intelligence
• Applied machine learning
• Statistical modeling
• Experimentation and A/B testing
• Causal inference
• Forecasting
• Data engineering-adjacent analytics
• Applied NLP or computer vision
• Experience independently managing multi-step analyses from raw or messy data through cleaning, modeling, validation, interpretation, and final conclusions.
• Strong understanding of concepts such as leakage, confounding, selection effects, statistical power, multiple testing, and model validation.
• Strong written communication and analytical reasoning.
• Current or recent hands-on data science experience strongly preferred.
• Familiarity with AI/LLM tools such as ChatGPT or Claude.
• Ability to independently review complex work and identify subtle errors or weaknesses.

Engagement Details

Pay: $40–$125/hour USD
Work Arrangement: Fully remote, contract/project-based
Availability: Approximately 10+ hours per week preferred; additional hours may be available
Location: United States, Canada, or the United Kingdom
Schedule: Flexible

Assessment & Onboarding

Qualified applicants will be invited to complete an approximately 2–4 hour unpaid skills assessment designed to evaluate domain expertise, careful reasoning, and the ability to assess AI-generated work against professional standards.

Assessment submissions must represent the applicant’s own work and may not be completed using AI tools.

Candidates who successfully complete the assessment may become eligible for ongoing paid AI training projects based on expertise, performance, and available work.

If you have applied data science experience and enjoy identifying the difference between an answer that simply looks correct and one that is technically sound, we encourage you to apply.

Pay: £35.00-£112.00 per hour

Expected hours: No less than 10.0 per week

Application Question(s):

• You must complete the skills assessment (about 2 to 4 hours, unpaid) to qualify. Please confirm you are comfortable doing so.
• Do you have hands-on experience writing and debugging Python and/or SQL as part of your professional work?

Experience:

• professional, applied data science or analytics: 1 year (Required)

Work Location: In person