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Scale AI
Scale AI

60 Scale Ai Software Jobs (Flexible Options) Near Me

Scale AI, Inc.

$180 - $225/hr

Scale GP is Scale's enterprise Generative AI platform--APIs and infrastructure for knowledge ... software engineering experience * Solid full‑stack fundamentals with production ownership of ...

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Scale AI Jobs Information

Do workers at Scale AI get paid breaks?

Sometimes. Only some people get paid breaks.
43% of people say they don’t get paid breaks.
Based on data from 7 people who took the Breakroom Quiz between April 2025 and March 2026.

Does Scale AI pay people when they’re sick?

Sometimes. Only some people get paid when they’re sick.
38% of people say they wouldn’t get paid if they were sick but scheduled to work.
Based on data from 8 people who took the Breakroom Quiz between January 2025 and March 2026.

Do people get paid time off at Scale AI?

Most people get paid time off work.
80% of people say they get paid time off.
Based on data from 5 people who took the Breakroom Quiz between May 2025 and March 2026.

Do workers at Scale AI worry about hours?

Most people don’t worry about getting enough hours.
100% of people report they don’t worry about getting enough hours.
Based on data from 5 people who took the Breakroom Quiz between April 2025 and December 2025.

How easy is it to get time off at Scale AI?

Most people find it easy to get time off.
75% of people report it’s easy to get time off.
Based on data from 8 people who took the Breakroom Quiz between January 2025 and March 2026.

Do Scale AI managers change schedules at the last minute?

Most managers don’t change people’s schedules at the last minute.
83% of people say their manager doesn’t change their shift schedule at the last minute.
Based on data from 6 people who took the Breakroom Quiz between January 2025 and December 2025.

Do jobs at Scale AI spill into time workers aren’t paid for?

Rarely. The job doesn't usually spill into unpaid time.
0% of people report that their job takes up time that they don’t get paid for.
Based on data from 6 people who took the Breakroom Quiz between January 2025 and December 2025.

How easy is it to take sick days at Scale AI?

Most people find it easy to take sick days.
88% of people report that it’s easy to take time off if they are sick.
Based on data from 8 people who took the Breakroom Quiz between January 2025 and March 2026.

Do people at Scale AI feel treated with respect by their managers?

Some people don’t feel treated with respect by their managers.
38% of people say they’re not treated with respect by their managers.
Based on data from 8 people who took the Breakroom Quiz between January 2025 and March 2026.

Do people at Scale AI get to take their breaks without interruption?

Most people get breaks without interruption.
78% of people report that they get to take their breaks without interruption.
Based on data from 9 people who took the Breakroom Quiz between January 2025 and March 2026.

Is it stressful to work at Scale AI?

Some people feel stressed here.
44% of people say they often feel stressed at work.
Based on data from 9 people who took the Breakroom Quiz between January 2025 and March 2026.

Do people at Scale AI enjoy their jobs?

Only some people enjoy their job.
50% of people report they don’t enjoy their job.
Based on data from 6 people who took the Breakroom Quiz between January 2025 and March 2026.

Do people at Scale AI recommend working with their team?

Most people recommend working with their team.
67% of people report that they would recommend working with their immediate team to a friend.
Based on data from 9 people who took the Breakroom Quiz between January 2025 and March 2026.

Do people get enough training when they start at Scale AI?

Some people didn’t get enough training when they started.
67% of people report they didn’t get enough training when they started working here.
Based on data from 9 people who took the Breakroom Quiz between January 2025 and March 2026.

Do people get support to advance at Scale AI?

Only some people are given support to advance their career here.
In the last year, 50% of people report not being given support to advance their career here.
Based on data from 8 people who took the Breakroom Quiz between January 2025 and March 2026.

Do people think Scale AI’s headquarters understands what’s happening where they work?

Most people think headquarters doesn’t understand what’s happening where they work.
86% of people think that this employer’s headquarters or owners don’t have a good understanding of what’s really happening where they work.
Based on data from 7 people who took the Breakroom Quiz between January 2025 and December 2025.

Do workers feel well informed about how Scale AI is doing?

Only some people feel well informed about how the company is doing.
63% of people feel that they aren’t kept well informed about how the company is doing as a whole.
Based on data from 8 people who took the Breakroom Quiz between January 2025 and December 2025.

What are the most popular jobs at Scale Ai?

What are the most popular categories at Scale Ai?

Senior Software Engineer, GenAI

Scale AI, Inc.

Manhattan, NY • On-site

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 14 days ago

Scale AI rating

8.5

Company rating: 8.5 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

81st of 247 rated software companies

Job description

About Scale

At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we're accelerating the abundance of frontier data to pave the road to Artificial General Intelligence (AGI), and building upon our prior model evaluation work with enterprise customers and governments, to deepen our capabilities and offerings for both public and private evaluations.

About Data Engine

Our Generative AI Data Engine powers the world's most advanced LLMs and generative models through world-class RLHF (Reinforcement Learning with Human Feedback), human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI.

Our Approach

As part of the interview process, you'll be considered for opportunities across several teams within the GenAI Engineering organization, based on your interests, expertise, and business needs. Potential team placements include Allocation, Growth, Frontier Data, Trust & Safety, Pay, Operator, or Tasking Experience. Together, these teams power Scale's AI data operations - from building high-impact datasets that push the boundaries of LLM capabilities, to optimizing contributor onboarding and incentives, to safeguarding data integrity through advanced trust, safety, and security measures. They work at the intersection of ML, operations, and analytics to ensure we deliver the highest-quality data at scale.

Responsibilities:
  • Design, build, and maintain robust, scalable systems across the full stack, including front-end, back-end, and infrastructure layers
  • Implement high-impact features using modern technologies such as TypeScript, React, Node.js, MongoDB, Elasticsearch, and Temporal
  • Collaborate closely with internal operators (your users are your neighbors) to identify bottlenecks and ship fast, pragmatic solutions
  • Own core systems critical to our contributor platform, with direct impact on Scale's GenAI data pipeline and business outcomes
  • Architect and scale infrastructure capable of handling millions of tasks per week with high reliability and low latency
  • Partner cross-functionally with ML teams, Forward Deployed Engineers, and Product to ensure data quality and operational excellence
  • Contribute to a strong engineering culture while setting best practices for teammates through mentorship, code reviews, and process improvements
Requirements:
  • 5+ years of software engineering experience, ideally in high-growth, product-focused environments
  • Proven track record of shipping production systems at scale
  • Drive reliability and performance across critical infrastructure systems, ensuring our platforms scale predictably and operate with high availability.
  • Strong technical depth in one or more areas: front-end frameworks, distributed systems, data infrastructure, or developer tooling
  • Experience working across the stack, ideally with React, TypeScript, Node.js, Python, MongoDB, Elasticsearch, and/or Temporal
  • Strong product sense and ability to translate ambiguous problems into technical solutions
  • Comfortable working in a fast-paced, high-ownership environment with a bias toward execution
  • Excited to join a dynamic hybrid team based in San Francisco or New York City

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:
$216,200—$270,250 USD

PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.

About Us:

At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.

We comply with the United States Department of Labor's Pay Transparency provision.

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

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