Data Engineer - Ai Training – Remote
YO IT Consulting · United States
- Hybrid
- Full-time
- $150,000 / year
- United States
Job highlights
- Senior Data Engineer role for AI training.
- Focus on data infrastructure and pipelines.
- Requires 4+ years of data engineering experience.
- Expertise in SQL, ETL/ELT, and modern data tools.
- Evaluate and refine AI-generated data engineering content.
About the role
Data Engineer - AI Training (Remote)
YO IT Consulting is seeking a Senior Data Engineer to contribute to the training of next-generation AI systems. This role focuses on data infrastructure, pipelines, and analytics workflows, helping AI models understand complex data engineering scenarios.
Role Description
As a Senior Data Engineer, you will leverage your expertise in modern data stacks, ETL/ELT architecture, orchestration, data modeling, warehouse design, quality validation, governance, and production-scale reliability. Your work will directly enhance the ability of AI models to reason through data engineering challenges, identify errors, and provide guidance.
Your Profile
- 4+ years of professional experience in data engineering, with proven experience designing, building, and maintaining production-grade data pipelines.
- Deep knowledge of SQL, data modeling, ETL/ELT architecture, orchestration frameworks, warehouse/lakehouse patterns, and modern data stack tools (e.g., dbt, Airflow, Snowflake, BigQuery, Databricks, Fivetran).
- Strong understanding of distributed data systems, batch and streaming workflows, schema design, data validation, data observability, lineage, and pipeline reliability.
- Proven experience optimizing complex SQL queries, troubleshooting data quality issues, designing scalable transformations, and supporting analytics or machine learning-ready datasets.
- Demonstrated experience in translating ambiguous business or technical requirements into reliable data models, pipeline designs, and implementation plans.
- Bachelor’s degree in Computer Science, Data Engineering, Information Systems, Statistics, Engineering, or a related technical field; equivalent professional experience will be considered.
- Previous experience with AI data training, annotation, or evaluating AI-generated technical content is a strong plus.
Key Responsibilities
- Evaluate AI-generated answers to data engineering prompts for technical accuracy, completeness, clarity, and feasibility.
- Challenge AI models with complex Data Engineer scenarios involving SQL, Python, ETL/ELT design, orchestration, warehousing, data modeling, and pipeline reliability.
- Review and refine AI-generated prompts, responses, rubrics, and reference answers to ensure senior-level judgment.
- Provide structured feedback identifying incorrect assumptions, missing constraints, weak reasoning, inefficient implementations, or unsafe recommendations.
- Shape AI communication standards by helping models explain data architecture, debugging, tradeoffs, and implementation patterns clearly and responsibly.
- Support benchmarking efforts by evaluating model performance across realistic data engineering workflows, edge cases, and failure modes.
- Develop and review high-quality examples demonstrating strong reasoning around pipeline design, data quality checks, data contracts, schema evolution, and system scalability.
Key skills/competency
- Data Engineering
- AI Training
- SQL
- Data Modeling
- ETL/ELT
- Orchestration
- Data Warehousing
- BigQuery
- Snowflake
- Python
Skills & topics
- Data Engineer
- AI Training
- Remote
- Data Pipelines
- SQL
- ETL
- ELT
- Data Modeling
- Airflow
- Snowflake
- BigQuery
- Databricks
- dbt
- Python
- Data Quality
- Data Observability
- Contractor
How to get hired
- Tailor your resume: Highlight your 4+ years of data engineering experience, focusing on production-grade pipelines, SQL, ETL/ELT, and modern data stack tools like dbt, Airflow, Snowflake, BigQuery, or Databricks.
- Showcase AI/ML familiarity: Emphasize any experience with AI data training, annotation, or evaluating AI-generated technical content, as this is a significant plus for the Data Engineer AI Training role.
- Quantify achievements: Use metrics to demonstrate your impact in optimizing queries, troubleshooting data quality, and designing scalable transformations for the Data Engineer AI Training position.
- Prepare for technical interviews: Be ready to discuss distributed systems, batch/streaming workflows, schema design, data observability, and complex SQL query optimization for this remote Data Engineer AI Training job.
Technical preparation
Master SQL, data modeling, and ETL/ELT concepts.,Familiarize with Airflow, dbt, Snowflake, BigQuery.,Understand distributed systems and data pipelines.,Practice optimizing complex SQL queries.
Behavioral questions
Describe a complex data pipeline you built.,How do you ensure data quality and reliability?,Explain a challenging data modeling scenario.,How do you translate requirements into data solutions?
Frequently asked questions
- What specific AI or machine learning experience is most valuable for this Data Engineer AI Training role at YO IT Consulting?
- For this Data Engineer AI Training position, direct experience with AI data training, annotation, or evaluating AI-generated technical content is a significant advantage. While not strictly required, it demonstrates a foundational understanding of the AI lifecycle and the nuances of technical content evaluation that will be critical in this role.
- Is there a minimum number of years of experience required for the Data Engineer AI Training position?
- Yes, YO IT Consulting requires a minimum of 4+ years of professional experience in data engineering for this Data Engineer AI Training role. This experience should include hands-on work in designing, building, and maintaining production-grade data pipelines.
- What are the essential technical skills for the Data Engineer AI Training role?
- Key technical skills include deep knowledge of SQL, data modeling, ETL/ELT architecture, orchestration frameworks, warehouse/lakehouse patterns, and modern data stack tools such as dbt, Airflow, Snowflake, BigQuery, Databricks, or Fivetran. A strong understanding of distributed data systems, batch and streaming workflows, schema design, and data observability is also crucial for this Data Engineer AI Training position.
- Can equivalent professional experience substitute for a Bachelor's degree for this remote Data Engineer AI Training job?
- Yes, YO IT Consulting considers equivalent professional experience as a valid substitute for the Bachelor's degree requirement in Computer Science, Data Engineering, Information Systems, Statistics, or Engineering for this Data Engineer AI Training role.
- What will be the primary focus of my work as a Data Engineer for AI Training?
- Your primary focus as a Data Engineer for AI Training will be evaluating and refining AI-generated responses to data engineering prompts. You'll challenge AI models, provide structured feedback, and help shape how AI models communicate about data architecture and implementation, ensuring accuracy and clarity.
- Is this Data Engineer AI Training position a remote role?
- Yes, this Data Engineer AI Training position is a fully remote role, offering flexibility in where you work.