Early-Career Software Engineer (Contract) - Remote

Overview

Mercor is collaborating with a leading AI research organization seeking exceptional early-career software engineers from the United States, United Kingdom, Canada, Australia, and New Zealand. This short-term engagement offers a unique opportunity to contribute to the development and optimization of advanced AI systems. Participants will work on high-impact engineering projects requiring strong technical execution, precision, and adaptability. This is a 2-week project-based contract ideal for independent contributors with strong software engineering fundamentals.

In Short

• Evaluate and annotate code snippets, scripts, and software tasks for accuracy and quality.
• Identify logical errors, inefficiencies, and improvements in code samples.
• Provide structured feedback on programming logic, implementation, and clarity.
• Work independently to meet daily annotation and review goals.
• Maintain consistency and precision when applying labeling guidelines.
• Fully remote and asynchronous — set your own schedule.
• Expected commitment: 20–30 hours per week.
• Project duration: approximately 2 weeks.
• Short-term, high-intensity contract supporting cutting-edge AI development.
• Payments processed weekly via Stripe Connect.

Requirements

• Bachelor’s degree or equivalent experience in Computer Science, Software Engineering, or a related technical field.
• Proficiency in more than one major programming language (Python, C++, Go, or Java).
• Strong understanding of algorithms, data structures, debugging, and code analysis.
• Exceptional analytical, communication, and problem-solving skills.
• Prior experience working on structured software engineering evaluations or benchmarks is a plus.
• Residency in one of the following regions: United States, United Kingdom, Canada, Australia, or New Zealand.

Benefits

• Engagement structured as an independent contractor relationship.
• Opportunity to work on cutting-edge AI projects.
• Flexibility in work hours and schedule.
• Collaboration with leading AI labs and research organizations.
• Potential for future opportunities based on performance.