About Mercor

Mercor is training models that predict how well someone will perform on a job better than a human can. We use our platform to source, vet, and onboard expert contractors who help train AI models in a wide variety of domains. Our technology is so effective it’s used by all of the top 5 AI labs.

We scaled from $1-500M in revenue run rate in the last 17 months, making us the fastest growing company in the world. Our growth is accelerating. We averaged 11% week over week growth in July, 18% WoW growth in August, and 19% WoW growth in September. The team is small and we remain profitable because we can’t hire great people as quickly as revenue is growing.

About the Role

We’re looking for someone who wants to bring a full-stack perspective to data. As a Software Engineer supporting our Data function, you will be responsible for creating and maintaining pipelines that enable our Data Science, Engineering, and Product teams, and the wider Mercor organization.

Your focus will be on data reliability, availability, and timeliness, with a focus on collaboration (and significant operational crossover with) our Data Science team and the many partner functions.

What You’ll Work On

• Building robust pipelines to ingest, transform, and consolidate data from diverse sources (e.g., MongoDB, Airtable, PostHog, production databases).

• Designing dbt models and transformations to standardize and unify many disparate tables into clean, production-ready schemas.

• Implementing scalable, fault-tolerant data workflows with Fivetran, dbt, SQL, and Python.

• Partnering with engineers, data scientists, and business stakeholders to ensure data availability, accuracy, and usability.

• Owning data quality and reliability across the stack, from ingestion through to consumption.

• Continuously improving pipeline performance, monitoring, and scalability.
  

What We’re Looking For

• Proven experience in data engineering, with strong knowledge of SQL, Python, and modern data stack tools (Fivetran, dbt, Snowflake or similar).

• Experience building and maintaining large-scale ETL/ELT pipelines across heterogeneous sources (databases, analytics platforms, SaaS tools).

• Strong understanding of data modeling, schema design, and transformation best practices.

• Familiarity with data governance, monitoring, and quality assurance.

• Comfort working cross-functionally with engineering, product, and operations teams.

• Bonus: prior experience supporting machine learning workflows or analytics platforms.

Why Mercor

• Impact: Your work powers how the world’s leading AI labs train and test their models.

• Learning: Get early insights into frontier model capabilities months before the market.

• Growth: Work on both infrastructure and research-adjacent projects with fast paths to ownership.

Benefits

• Generous equity grant vested over 4 years

• A $20K relocation bonus (if moving to the Bay Area)

• A $10K housing bonus (if you live within 0.5 miles of our office)

• A $1K monthly stipend for meals

• Free Equinox membership

• Health insurance

Compensation Range: $130K - $500K