
Handshake is an American employment website for job listings, primarily for college students, launched in 2014
Analog Engineer - AI Trainer
必須スキル
Python
Opportunity Overview:
Handshake is looking for skilled Ngspice 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 analog circuit simulation, SPICE modeling, or mixed-signal analysis to evaluate AI-generated content and provide feedback that helps AI better understand circuit design tasks and electronics 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 Ngspice user who has worked in or around roles like:
-
Analog IC Designer or Power Electronics Engineer
-
RF Engineer or Audio Electronics Designer
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PCB Designer or Circuit Design Engineer
You should have solid experience with one or more of the following:
-
Analog circuit simulation or SPICE modeling using Ngspice or Qucs-S
-
Mixed-signal analysis, digital circuit design, or signal integrity workflows
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Annotating or labeling circuit schematics and simulation outputs
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Reviewing simulation results for accuracy, performance, or design consistency
What You'll Do:
You'll use your experience with Ngspice to create tool-related questions and review AI-generated responses for accuracy and relevance to real-world analog circuit design and simulation workflows.
No prior AI or technical experience is required.
Qualifications:
We're looking for people who have:
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At least 3+ years of hands-on experience with Ngspice, whether through professional work or freelance projects
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A working knowledge of analog circuit simulation concepts, SPICE models, and electronics workflows
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Familiarity with tools or languages such as Python, C, or MATLAB is a plus
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Strong written communication skills and attention to detail
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The ability to work independently and follow written guidelines
Application Process
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Create a Handshake account
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Upload your resume and verify your identity
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Get matched and onboarded into relevant projects
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Start working and earning
Work Model and Project Details:
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Status: Independent contractor (not a full-time employee role)
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Location: Fully remote; work from anywhere with a reliable internet connection and access to a desktop or laptop computer
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Schedule: Flexible and asynchronous, with no minimum hour requirement. Many contributors work approximately 5–20 hours per week when assigned to an active project
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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
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 for more information on what types of work authorizations are supported on Handshake AI.
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Handshakeについて

Handshake
Series EHandshake is a career services platform that connects college students and recent graduates with employers for job opportunities and recruiting.
501-1,000
従業員数
San Francisco
本社所在地
$3.5B
企業価値
レビュー
10件のレビュー
3.8
10件のレビュー
ワークライフバランス
3.7
報酬
2.8
企業文化
4.1
キャリア
2.5
経営陣
3.2
72%
知人への推奨率
良い点
Flexible work arrangements and remote options
Supportive team and environment
Good leadership and vision
改善点
Limited growth and promotion opportunities
Compensation could be better
Management needs improvement
給与レンジ
7件のデータ
Junior/L3
Mid/L4
Junior/L3 · Full-time role
1件のレポート
$52,000
年収総額
基本給
$52,000
ストック
-
ボーナス
-
$41,600
$52,000
面接レビュー
レビュー5件
難易度
3.2
/ 5
期間
14-28週間
内定率
60%
体験
ポジティブ 60%
普通 0%
ネガティブ 40%
面接プロセス
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Final Interview
6
Offer
よくある質問
Technical Knowledge
Behavioral/STAR
Coding/Algorithm
Past Experience
Culture Fit
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