Data Science Expert – AI Content Specialist About the Role What if your data science expertise could directly shape how the world's most advanced AI models reason, code, and solve problems?
Data Science Expert
Job description
About the Role
We are seeking Data Science Experts to support AI model training by designing complex data workflows and evaluating AI-generated outputs.
In this role, you will create realistic analytics, BI, and data engineering scenarios, and assess how AI systems perform across end-to-end data processes.
Key Responsibilities
- Design data workflows across analytics, BI, and data engineering
- Build scenarios involving SQL analysis, dashboards, and A/B testing
- Create and evaluate data pipelines (ETL/ELT, dbt, orchestration)
- Assess AI-generated outputs and provide structured feedback
- Develop data artifacts (queries, models, dashboards, schema designs)
- Clearly articulate reasoning behind data decisions
Requirements
- 3+ years experience in data science, analytics, BI, or data engineering
- Strong proficiency in SQL and data modeling
- Experience with data warehouses (Snowflake, BigQuery, Redshift)
- Experience with experimentation (A/B testing)
- Familiarity with orchestration tools (Airflow, Dagster)
- Ability to produce and interpret data artifacts
- Strong analytical thinking and communication skills
Preferred Qualifications
- Experience across multiple data domains (analytics + engineering)
- Experience with dbt and metric modeling
- Proficiency in Python for data analysis
Work Details
- Work Type: Fully remote
- Engagement: Contractor
- Schedule: Flexible (part-time)
Compensation
- $70 – $120/hour depending on experience
- Weekly payments via Stripe or Wise
About the Opportunity
This role focuses on improving AI systems in data science by combining real-world analytics and engineering expertise with structured evaluation and workflow design.
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