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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and optimizing GenAI data solutions while ensuring high data quality and effective client communication. Proficient in translating client needs into scalable workflows and collaborating with engineering teams to build efficient data pipelines.
Highest-signal resume keywords
GenAI Data SolutionsPython ProficiencySQL ProficiencyCustomer-Facing Technical RoleMachine Learning Workflows
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data Quality ManagementAnnotation Guidelines DevelopmentValidation Requirements DefinitionAutomation Requirements DefinitionData Solutions DesignModel EvaluationLLM TrainingData OperationsScalable WorkflowsReproducible Pipelines
Soft Skills
Consultative Problem-SolvingClient CommunicationStakeholder Guidance
Industry Keywords
Data ScienceEngineeringStatisticsTechnical ConsultingSolutions EngineeringSolutions Architect
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Work directly with enterprise clients to design, deploy, and optimize GenAI data solutions
- Own final delivered data quality
- Define requirements and clarify success criteria
- Shape high-quality annotation guidelines and proactively provide insights
- Translate ambiguous client needs into clear, scalable workflows
- Deliver GenAI datasets meeting defined acceptance and quality criteria
- Define validation and automation requirements to reduce variance, manual review effort, rework, and time to validation
- Partner with engineering to build scalable, reproducible, and observable pipelines
- Contribute reusable quality frameworks and validators adopted across multiple projects
Requirements
What you’ll need- 3+ years of experience in a customer-facing technical role such as solutions engineering, solutions architect, data or technical consulting, or data operations
- Bachelor's degree in Computer Science, Engineering, Data Science, Statistics, or a related field, or equivalent practical experience
- Experience working on GenAI, machine learning, or model evaluation data, including LLM training, annotation, or evaluation workflows
- A consultative problem-solving approach when leading client conversations, asking sharp questions, and guiding stakeholders toward better decisions
- Ability to vibe code; proficiency in Python and SQL is a plus
- Confidence in working directly with client engineering or machine learning teams
Benefits
Comp & perks- Medical coverage
- Dental coverage
- Vision coverage
- Retirement plan options
- Paid time off
- Flexible work arrangements
- Tools, resources and development opportunities