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Software Engineer - AI Trainer

Handshake

Software Engineer - AI Trainer

Handshake

Remote (USA)

·

Remote

·

Full-time

·

1w ago

Opportunity Overview:

Handshake is seeking experienced Software Engineers to support AI research through flexible, hourly contract work. This is not a traditional full-time SWE role. You’ll use your real-world software development experience to evaluate AI-generated code and technical content, provide structured feedback, and help improve how AI understands programming tasks, system design, and engineering best practices.

This is an ongoing, project-based opportunity that can be done alongside your primary employment.

Who This Is For:

This opportunity is designed for professionals currently working (or recently working) in roles such as:

  • Software Engineer or Senior Software Engineer

  • Backend, Frontend, or Full-Stack Engineer

  • Systems Engineer or Application Developer

This is not a traditional full-time role. You’ll apply once and, if qualified, be considered for part-time, project-based work as new projects become available.

What You’ll Do:

This project involves using your software engineering experience to design job-related coding questions and review AI-generated responses for correctness, efficiency, clarity, and alignment with real-world engineering practices.

Applicants will be required to pass a coding assessment as part of the selection process.

Qualifications:

We’re looking for professionals with:

  • 4+ years of professional software engineering experience (internships excluded)

  • Strong hands-on coding experience in at least one major programming language (e.g., Python, Java, C++, JavaScript, Go, etc.)

  • Experience writing, reviewing, and debugging production-level code

  • Comfortable working independently and following detailed technical guidelines

  • Strong written communication skills and attention to detail

Application Process

  • Create a Handshake account

  • Upload your resume and verify your identity

  • Get matched and onboarded into relevant projects

  • Start working and earning

Work Model and Project Details:

  • Status: Independent contractor (not a full-time employee role)

  • Location: Fully remote

  • Schedule: Flexible and asynchronous, with no minimum hour requirement. Many contributors work approximately 5–20 hours per week when assigned to an active project

  • Duration: The Handshake AI program runs year-round, with projects opening periodically across different areas of expertise. Placement depends on current project needs, with opportunities to be considered for future projects as they become available

Work authorization information

F-1 students who are eligible for CPT or OPT may be eligible for projects on Handshake AI. Work with your Designated School Official to determine your eligibility. If your school requires a CPT course, Handshake AI may not meet your school’s requirements. STEM OPT is not supported. See our Help Center article https://support.joinhandshake.com/hc/en-us/articles/32245223383703-Fellowship-Work-Authorization-Eligibility for more information on what types of work authorizations are supported on Handshake AI.

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About Handshake

Handshake

Handshake

Series E

Handshake is a career services platform that connects college students and recent graduates with employers for job opportunities and recruiting.

501-1,000

Employees

San Francisco

Headquarters

$3.5B

Valuation

Reviews

3.7

1 reviews

Work Life Balance

3.0

Compensation

3.0

Culture

3.0

Career

2.5

Management

3.0

25%

Recommend to a Friend

Pros

Platform available for job applications

Cons

Difficulty finding jobs

Low success rate after many applications

Salary Ranges

6 data points

Mid/L4

Mid/L4 · Goods In Team Leader and Stock Controller

1 reports

-

total / year

Base

-

Stock

-

Bonus

-

Interview Experience

5 interviews

Difficulty

3.2

/ 5

Duration

14-28 weeks

Offer Rate

60%

Experience

Positive 60%

Neutral 0%

Negative 40%

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Final Interview

6

Offer

Common Questions

Technical Knowledge

Behavioral/STAR

Coding/Algorithm

Past Experience

Culture Fit