AI Trainer, Data Science

Brunel; Oregon; Híbrido; USD 55.000 - 172.000; A tiempo parcial

Descripción de la vacante

Brunel, partnering with DataAnnotation, seeks practicing data scientists for an AI training program. You will design real‑world data science tasks, evaluate AI outputs, and contribute to high‑quality AI systems across analytics, ML, statistics, NLP, or computer vision.

This is fully remote, project-based with a 10‑hour minimum per week and potential for full-time hours. Pay ranges from $40–$125 per hour, paid via PayPal, for eligible applicants worldwide as an independent contractor.

Formación

• Fluency in English (native or bilingual)
• 2+ years of professional applied data science experience
• Proficiency in Python and/or SQL, with ability to write and explain analysis code
• Ability to own a multi-step analysis end to end from raw data to interpretation
• Ability to judge whether results are real and explain why they are correct or incorrect
• Familiarity with AI tools and quick self-learning
• Bachelor’s in a quantitative field preferred

Responsabilidades

• Design challenging data science tasks from your practice: exploratory analysis, A/B test design and readout, or a model with proper validation
• Run tasks through frontier AI models and judge outputs against professional standards
• Compare model outputs on identical prompts/files and document which performed better and why
• Write detailed grading rubrics and tests defining deliverables and passing criteria
• Flag concrete failures with evidence: leakage, confounding, wrong joins, misapplied tests, or data fabrication
• Contribute across analytics, ML, experimentation, and data engineering and review tasks created by others

Conocimientos

English fluency

Applied data science

End-to-end analytics

Model evaluation

AI tools familiarity

Communication skills

Educación

Bachelor's degree in a quantitative field

Herramientas

Python

SQL

Descripción del empleo

Brunel is partnering with DataAnnotation to connect experienced Data Scientists with an innovative AI training program. This opportunity brings together hands‑on data science expertise and artificial intelligence to help evaluate and improve how AI models handle real data science work. Selected experts will contribute their knowledge to the development of high‑quality, technically accurate AI systems.This opportunity is designed for practicing data scientists who take analyses from messy data to a defensible conclusion. It covers product and business analytics, applied machine learning, statistics and experimentation, forecasting, analytics engineering, and applied NLP or computer vision.

Engagement Details

Fully remote, project‑based work with a flexible schedule. The minimum is 10 hours per week with no weekly maximum, and full‑time hours are available.

Pay rate $40–$125 USD/hour, paid via PayPal.

Location United Kingdom, Ireland, and Australia/New Zealand, United States, Canada.

Responsibilities

Design challenging, realistic data science tasks from your own practice: an exploratory analysis of a messy dataset, an A/B test design and readout, or a model with proper validationRun those tasks through frontier AI models and judge the output against your professional standardCompare two model outputs on identical prompts and files, decide which performed better, and document where each fell shortWrite detailed grading rubrics and tests that define what a correct deliverable must contain, and explain why a response passes or failsFlag concrete failures with evidence: leakage, confounding, wrong joins, misapplied tests, code that runs but doesn't do what was asked, fabricated or ignored data, and off‑brief interpretationContribute across analytics, machine learning, experimentation, and data engineering, and review and refine tasks built by other experts

Qualifications

Fluency in English (native or bilingual level)2+ years of professional applied data science experience, in industry or researchWorking proficiency in Python and/or SQL, with the ability to write, debug, and explain your own analysis codeExperience owning a multi‑step analysis end to end, from raw data through modeling and interpretation to a decisionThe ability to judge whether a result is real, and to explain why an answer is wrong, not only that it isWorking comfort with AI tools, or the ability to pick them up quicklyA current, in progress, or completed Bachelor's in a quantitative field is preferred

Note: 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 Australia, Canada, Ireland, New Zealand, the United Kingdom, and the United States will be considered for this role. This is an independent contractor position.