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Handshake
Handshake

Handshake is an American employment website for job listings, primarily for college students, launched in 2014

Software Engineer - AI Trainer

职能HR
级别中级
地点Remote (USA), United States
方式远程
类型全职
发布2个月前
立即申请

必备技能

Python

Java

JavaScript

Go

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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关于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

员工数

San Francisco

总部位置

$3.5B

企业估值

评价

10条评价

3.8

10条评价

工作生活平衡

3.7

薪酬

2.8

企业文化

4.1

职业发展

2.5

管理层

3.2

72%

推荐率

优点

Flexible work arrangements and remote options

Supportive team and environment

Good leadership and vision

缺点

Limited growth and promotion opportunities

Compensation could be better

Management needs improvement

薪资范围

7个数据点

Junior/L3

Mid/L4

Junior/L3 · Full-time role

1份报告

$52,000

年薪总额

基本工资

$52,000

股票

-

奖金

-

$41,600

$52,000

面试评价

5条评价

难度

3.2

/ 5

时长

14-28周

录用率

60%

体验

正面 60%

中性 0%

负面 40%

面试流程

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Final Interview

6

Offer

常见问题

Technical Knowledge

Behavioral/STAR

Coding/Algorithm

Past Experience

Culture Fit