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Mercor

Verified Job SourceRecruitment agency

Organizing human intelligence to power the AI economy.

San Francisco, California

Software Development
5,001+ people

About

We find the best experts in every professional domain and put their knowledge to work training frontier models. Through APEX, we measure whether those models can actually perform economically valuable work. We're also bringing that expertise to enterprises: deploying custom AI agents, staffing teams with vetted domain experts, and helping organizations encode their own knowledge into AI systems.

Open positions

Cybersecurity GRC Evaluator - Expert

Remote · Montreal, Quebec, Canada

Evaluate AI-generated artifacts against domain-specific quality rubrics to identify factual and presentation errors. Provide structured written feedback to improve the performance of AI models in the Cybersecurity and IT GRC domains.

Network Engineer - Data Annotation

Remote · Canada, United States

Review and label real-world network data, including logs and telemetry, to identify behaviors and anomalies. Define data schemas for large-scale pipelines used to train machine learning models for autonomous systems.

Visual Data Analyst - Fully Remote | Upto $35/hr

Remote · Montreal, Quebec, Canada

The role involves identifying images that cause AI models to count incorrectly and testing them with specific prompts. The analyst will write contextual prompts and label tasks to improve AI model accuracy.

DevOps Engineer - AI Model Evaluator

Remote · Toronto, Ontario, Canada

Use frontier AI coding agents to complete and evaluate complex infrastructure engineering tasks. Review and identify bugs or reliability issues in model-generated implementations for cloud platforms and CI/CD systems.

information technology (IT) analyst

On-site · Toronto

<p><strong>About the job</strong></p> <p><strong>Mercor</strong> connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include <strong>Benchmark</strong>, <strong>General Catalyst</strong>, <strong>Peter Thiel</strong>, <strong>Adam D'Angelo</strong>, <strong>Larry Summers</strong>, and <strong>Jack Dorsey</strong>.</p> <p><strong>Position:</strong> Audio Engineer (Speech / TTS Audio Specialist) ? French<br/> <strong>Type:</strong> <strong>Contract</strong><br/> <strong>Compensation:</strong> <strong>$50/hour</strong><br/> <s…

Search Systems Engineer - Fully Remote | Upto $150/hr

Remote · Canada

The role involves evaluating and optimizing agentic search systems to improve the accuracy and reliability of AI-generated content. You will scale data infrastructure and collaborate with research teams to quantify the impact of search system improvements.

Search Systems Engineer - Expert

Remote · Montreal, Quebec, Canada

The role involves developing and optimizing agentic search systems to improve the accuracy and reliability of AI-generated content. Responsibilities include scaling data infrastructure and collaborating with research teams to quantify improvements in retrieval capabilities.

DevOps Engineer - AI Model Evaluator

Remote · Montreal, Quebec, Canada

Use frontier AI coding agents to complete and evaluate complex infrastructure engineering tasks. Review and compare model-generated implementations for cloud platforms, Kubernetes, and CI/CD systems to identify bugs and reliability issues.

Data Engineer - AI Model Evaluation

Remote · Montreal, Quebec, Canada

Use frontier AI coding agents to complete and evaluate complex data engineering tasks. Review and assess model-generated implementations for ETL pipelines, data warehouses, and distributed systems to identify bugs and scalability issues.

Data Scientist - AI Evaluation

Remote · Montreal, Quebec, Canada

Design grading criteria for data science deliverables and evaluate AI-generated or human-created work for quality and consistency. Provide detailed written justifications for scores to improve AI model performance.

Network Engineer - Data Annotation

Remote · Montreal, Quebec, Canada

The role involves reviewing and labeling real-world network data, including logs and telemetry, to improve AI model performance. The engineer will also help define data schemas and interface with client teams to ensure data quality.