Software Engineer (Remote - US) at Jobgether

, , United States -

Full Time

Start Date

Immediate

Expiry Date

19 Jan, 26

Salary

85.0

Posted On

21 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Software Engineering, AI Research, Code Review, Analytical Skills, Problem-Solving, Communication Skills, Algorithms, Data Structures, Debugging, Python, C++, Go, Java, Code Quality, Annotation, Feedback

Industry

Internet Marketplace Platforms

Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Software Engineer in the United States. This role offers an exciting opportunity to contribute to cutting-edge AI research by evaluating and annotating software engineering tasks. You will work remotely and asynchronously, analyzing code snippets, identifying logical errors, and providing structured feedback to help optimize performance and maintain high-quality outputs. The position is highly collaborative within a research-driven environment, requiring attention to detail, strong technical expertise, and the ability to work independently. It’s ideal for software professionals who are passionate about AI, code quality, and advancing the capabilities of modern AI systems. The work is short-term but impactful, providing a unique chance to contribute directly to world-class AI projects. Accountabilities: Evaluate and annotate code snippets, scripts, and software engineering tasks for accuracy, clarity, and quality. Identify logical errors, inefficiencies, and optimization opportunities in programming samples. Provide structured and precise feedback on implementation, coding logic, and best practices. Apply annotation and labeling guidelines consistently to maintain high precision. Work independently to meet daily targets for code review and annotation. Support the training of AI models by ensuring annotated code meets strict quality standards. Bachelor’s degree or equivalent experience in Computer Science, Software Engineering, or a related technical field. Proficiency in at least two major programming languages (e.g., Python, C++, Go, Java). Strong understanding of algorithms, data structures, debugging, and code analysis. Exceptional analytical, problem-solving, and written communication skills. Prior experience with structured software evaluations, benchmarks, or code review is a plus. Access to a desktop or laptop computer (Chromebooks not supported). Ability to work asynchronously and independently in a fully remote environment. Competitive hourly rate: $85/hour. Fully remote and flexible work schedule (10–40 hours/week). Short-term, high-impact engagement (~2 weeks). Opportunity to work with leading AI research labs and contribute to state-of-the-art AI development. Technical training and guidance provided. Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching. When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly. 🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements. 📊 It compares your profile to the job’s core requirements and past success factors to determine your match score. 🎯 Based on this analysis, we automatically shortlist the three candidates with the highest match to the role. 🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed. The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team. Thank you for your interest! #LI-CL1

Responsibilities

Evaluate and annotate code snippets for accuracy and quality. Identify logical errors and provide structured feedback to optimize performance.