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职位Handshake

Music Producer - AI Trainer

Handshake

Music Producer - AI Trainer

Handshake

Remote (USA)

·

Remote

·

Full-time

·

1mo ago

Opportunity Overview:

Handshake is looking for skilled Ardour, Audacity, or LMMS users to support AI research through flexible, hourly contract work. This is not a traditional job. You'll draw on your hands-on experience with recording, editing, or mixing audio to evaluate AI-generated content and provide feedback that helps AI better understand audio tasks and professional production workflows.

This is an ongoing, project-based opportunity you can take on alongside anything else you have going on.

Who This Is For:

This is a good fit if you're an experienced Ardour, Audacity, or LMMS users who has worked in or around roles like:

  • Audio Engineer or Recording Engineer

  • Music Producer

  • Sound Designer

You should have solid experience with one or more of the following:

  • Recording, editing, or mixing audio using Ardour

  • Annotating or labeling audio assets

  • Working on audio projects following production briefs or session guidelines

  • Reviewing audio for quality, accuracy, or sonic consistency

What You'll Do:

You'll use your experience with Ardour, Audacity, or LMMS to create tool-related questions and review AI-generated responses for accuracy and relevance to real-world audio engineering and music production workflows.

No prior AI or technical experience is required.

Qualifications:

We're looking for people who have:

  • Minimum 3 years of hands-on experience with Ardour, Audacity, or LMMS, whether through professional work or freelance projects

  • A working knowledge of audio engineering concepts and production workflows

  • Strong written communication skills and attention to detail

  • The ability to work independently and follow written guidelines

Work Model and Project Details:

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

  • Location: Fully remote; work from anywhere with a reliable internet connection and access to a desktop or laptop computer

  • 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

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 Authorization

Must be currently residing in the United States.
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

2.8

3条评价

工作生活平衡

3.0

薪酬

2.5

企业文化

2.0

职业发展

2.5

管理层

2.0

25%

推荐给朋友

优点

Persistence can lead to successful outcomes

Initial pay agreements show potential

Job search platform provides opportunities

缺点

Disrespectful resignation and exit processes

Verbal pay agreements not honored

Long job search with many rejections

薪资范围

8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

面试经验

5次面试

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