Handshake

Associate Software Engineer Interview Experience - United States

April 4, 2025

Positive ExperienceNo Offer

Process

The interview process for Handshake's Early Career Software Engineer position included a phone screening, a take-home assignment with a follow-up interview, and a hiring manager interview. The take-home assignment tested your technical abilities, while the hiring manager interview asked more about your past experiences and skills.

Questions

How much experience do you have with React, and what projects have you used it in? (This interview was geared towards a full-stack position.)

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Interview Statistics

The following metrics were computed from 4 interview experiences for the Handshake Associate Software Engineer role in United States.

Success Rate

50%

Pass Rate

Handshake's interview process for their Associate Software Engineer roles in the United States is fairly selective, failing a large portion of engineers who go through it.

Experience Rating

Positive100%

Neutral0%

Negative0%

Candidates reported having very good feelings for Handshake's Associate Software Engineer interview process in United States.

Handshake Work Experiences

Fellow Experience

AI Fellow • Current Employee

San Francisco, CA

November 24, 2025

Pros: Flexible, Accommodating, Teamwork, Good pay

Cons: There can be pressure, and it is cutthroat

Fellow Experience

AI Fellow • Current Employee

San Francisco, CA

November 24, 2025

Pros: Flexible, Accommodating, Teamwork, Good pay

Cons: There can be pressure, and it is cutthroat

Flexible Work, Inconsistent Pay

Remote AI Trainer • Current Employee

Hartford, Connecticut, United States

November 18, 2025

Pros: The work can be exciting if you like to dissect complicated problems in your field of expertise. Work as many hours, from anywhere, at any time you want. Good entry into the field of data annotation for AI training. The pay can be very high if you work quickly.

Cons: The amount of time you get paid for each task is capped. Therefore, the pay per hour may not be accurate depending on the role you are assigned. Reviewer roles tend to be paid more consistently than fellows due to unrealistic time caps. Also, there are many unpaid components of the job, despite being pretty essential. For example, checking for changes in project requirements (expect very frequent changes) or attending office hours for help.

Flexible Work, Inconsistent Pay

Remote AI Trainer • Current Employee

Hartford, Connecticut, United States

November 18, 2025

Pros: The work can be exciting if you like to dissect complicated problems in your field of expertise. Work as many hours, from anywhere, at any time you want. Good entry into the field of data annotation for AI training. The pay can be very high if you work quickly.

Cons: The amount of time you get paid for each task is capped. Therefore, the pay per hour may not be accurate depending on the role you are assigned. Reviewer roles tend to be paid more consistently than fellows due to unrealistic time caps. Also, there are many unpaid components of the job, despite being pretty essential. For example, checking for changes in project requirements (expect very frequent changes) or attending office hours for help.

chill

SWE Intern • Current Employee

Los Angeles, CA

November 17, 2025

Pros: very easy and chill teammates

Cons: not a lot of projects

SWE Intern • Current Employee

Los Angeles, CA

November 17, 2025

Pros: very easy and chill teammates

Cons: not a lot of projects

Fellow Experience

AI Fellow • Current Employee

San Francisco, CA

November 24, 2025

Pros: Flexible, Accommodating, Teamwork, Good pay

Cons: There can be pressure, and it is cutthroat

4.0
Fellow Experience
AI Fellow • Current Employee
San Francisco, CA
November 24, 2025
Pros: Flexible, Accommodating, Teamwork, Good pay
Cons: There can be pressure, and it is cutthroat

Flexible Work, Inconsistent Pay

Remote AI Trainer • Current Employee

Hartford, Connecticut, United States

November 18, 2025

Pros: The work can be exciting if you like to dissect complicated problems in your field of expertise. Work as many hours, from anywhere, at any time you want. Good entry into the field of data annotation for AI training. The pay can be very high if you work quickly.

Cons: The amount of time you get paid for each task is capped. Therefore, the pay per hour may not be accurate depending on the role you are assigned. Reviewer roles tend to be paid more consistently than fellows due to unrealistic time caps. Also, there are many unpaid components of the job, despite being pretty essential. For example, checking for changes in project requirements (expect very frequent changes) or attending office hours for help.

3.0
Flexible Work, Inconsistent Pay
Remote AI Trainer • Current Employee
Hartford, Connecticut, United States
November 18, 2025
Pros: The work can be exciting if you like to dissect complicated problems in your field of expertise. Work as many hours, from anywhere, at any time you want. Good entry into the field of data annotation for AI training. The pay can be very high if you work quickly.
Cons: The amount of time you get paid for each task is capped. Therefore, the pay per hour may not be accurate depending on the role you are assigned. Reviewer roles tend to be paid more consistently than fellows due to unrealistic time caps. Also, there are many unpaid components of the job, despite being pretty essential. For example, checking for changes in project requirements (expect very frequent changes) or attending office hours for help.

chill

SWE Intern • Current Employee

Los Angeles, CA

November 17, 2025

Pros: very easy and chill teammates

Cons: not a lot of projects

4.0
chill
SWE Intern • Current Employee
Los Angeles, CA
November 17, 2025
Pros: very easy and chill teammates
Cons: not a lot of projects

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