Open expert roles.

Job Description

Assess large-scale batch and streaming architectures, lakehouse design, data contracts, orchestration, lineage, and production data quality. Review AI-generated pipelines for correctness, idempotency, schema evolution, recovery behavior, observability, and cost-aware scalability. Identify weak ownership boundaries, silent data-quality failures, brittle dependencies, and governance gaps that would surface in production. Provide practical corrections using SQL, Spark, Kafka, dbt, Airflow, and comparable modern data-platform patterns. Remote, project-based contract work. Scope and hours depend on project matching; the listed hourly range applies to matched work.

Why Apply

• Expert-level compensationEarn $135 - $205/hr for work that values your professional judgment.
• Flexible remote workContribute asynchronously around your existing professional commitments.
• Meaningful model impactHelp advanced AI systems reason more accurately in technology & computing.
• Focused projectsAccept only the opportunities that fit your experience and availability.

Responsibilities

• Evaluate advanced domain tasks and AI-generated responses for factual accuracy and professional judgment.
• Apply current standards, methods, and risk considerations from technology & computing.
• Document errors, edge cases, and the reasoning behind an ideal response.
• Collaborate asynchronously with Alpheva's research and evaluation teams.

Required Qualifications

• 7+ years building production data platforms or analytics infrastructure
• Advanced SQL plus expertise in Spark, Kafka, dbt, Airflow, or comparable systems
• Experience designing reliable, observable, governed data products at scale

Company Description

Alpheva AI builds the expert data, evaluations, and real-world environments that help frontier AI systems become more capable and reliable. We partner with experienced professionals whose judgment can teach models how high-quality work is actually done.