Data Scientist Team Lead, AI Training QA (Remote US, Contract, $110/hr) — SME Careers via AI Gig Scout
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SME Careers (via AI Gig Scout) Data Scientist Team Lead, AI Training QA (Remote US, Contract, $110/hr) — SME Careers via AI Gig Scout
Summary
QA team lead for data-science AI training projects at SME Careers (a SuperAnnotate subsidiary providing training data to AI labs): reviews AI-generated explanations, Python/R/SQL snippets and statistical/ML content, spot-checks trainer work, maintains style guides and runs onboarding. Hourly remote contract at $110/hr for US-based applicants.
SME Careers, a fast-growing AI data services company and subsidiary of SuperAnnotate that provides training data to many of the world's largest AI companies and foundation-model labs, is hiring a Data Scientist Team Lead (Quality Assurance Lead) for hourly paid, remote contractor work at $110/hr. Listed for applicants in the United States. The selection process involves an AI interview, a domain-specific task and an interview with a recruiter.
What you will do: oversee quality, consistency and trainer performance across data science AI training projects; spot-check items and give precise written feedback; review AI-generated data science explanations, Python, R and SQL snippets, modeling workflows, statistical interpretations and experiment designs; answer questions on statistical assumptions, metrics, model selection, data leakage and validation; maintain style guides, trackers, FAQs and onboarding materials; and run onboarding and training calls for contributors.
Requirements: a Bachelor's, Master's or PhD in Data Science, Statistics, Computer Science, Machine Learning, Mathematics, Economics, Engineering or a closely related quantitative field; strong English; 3+ years of professional experience in data science, analytics, machine learning, statistical modeling, experimentation or data engineering; and a strong understanding of statistics, EDA, feature engineering, supervised and unsupervised learning and model evaluation. Preferred: Python, pandas, NumPy, scikit-learn, SQL, Jupyter, Spark, Git and MLflow, and experience leading remote teams. Important: there is no immediate project for this role; if qualified, you will be among the first experts contacted when relevant opportunities arise.
Details and apply link: https://aigigscout.com/jobs/sannotate/data-scientist-team-lead-datascientistqal-25-381?utm_source=kubernetesjobs&utm_medium=jobboard&utm_campaign=aigigscout_growth
Disclosure: posted by AI Gig Scout, an independent listing site (not SME Careers). The apply link may be a referral link.
What you will do: oversee quality, consistency and trainer performance across data science AI training projects; spot-check items and give precise written feedback; review AI-generated data science explanations, Python, R and SQL snippets, modeling workflows, statistical interpretations and experiment designs; answer questions on statistical assumptions, metrics, model selection, data leakage and validation; maintain style guides, trackers, FAQs and onboarding materials; and run onboarding and training calls for contributors.
Requirements: a Bachelor's, Master's or PhD in Data Science, Statistics, Computer Science, Machine Learning, Mathematics, Economics, Engineering or a closely related quantitative field; strong English; 3+ years of professional experience in data science, analytics, machine learning, statistical modeling, experimentation or data engineering; and a strong understanding of statistics, EDA, feature engineering, supervised and unsupervised learning and model evaluation. Preferred: Python, pandas, NumPy, scikit-learn, SQL, Jupyter, Spark, Git and MLflow, and experience leading remote teams. Important: there is no immediate project for this role; if qualified, you will be among the first experts contacted when relevant opportunities arise.
Details and apply link: https://aigigscout.com/jobs/sannotate/data-scientist-team-lead-datascientistqal-25-381?utm_source=kubernetesjobs&utm_medium=jobboard&utm_campaign=aigigscout_growth
Disclosure: posted by AI Gig Scout, an independent listing site (not SME Careers). The apply link may be a referral link.