Scale AI Careers: Opportunities, Roles, and How to Get Hired

As AI continues to transform industries, Scale AI has become one of the top companies driving this evolution. Known for providing high-quality data labeling and annotation services for machine learning, Scale AI Career powers the most advanced models used by companies like OpenAI, Meta, and Tesla.

In 2025, Scale AI careers offer exciting opportunities for tech professionals, data enthusiasts, and AI specialists. Whether you’re a software engineer, annotation specialist, product manager, or looking to transition into AI, there’s likely a place for you at Scale.

Let’s explore everything about Scale AI careers, from job types and salaries to skills needed and how to apply.

What is Scale AI?

Scale AI is a San Francisco-based data infrastructure company. It provides training data for artificial intelligence applications. Its platform allows companies to outsource data labeling for computer vision, natural language processing (NLP), autonomous vehicles, and more.

Founded in 2016, Scale AI has grown rapidly. As of 2025, it partners with Fortune 500 firms,

U.S. government agencies, and major research labs.

Because AI requires vast amounts of clean, labeled data, Scale AI plays a crucial role in the ecosystem.

Why Consider a Career at Scale AI?

There are several reasons professionals pursue Scale AI careers:

• High-impact projects with real-world use.
• Exposure to cutting-edge AI and ML technologies.
• Remote-friendly positions and flexible schedules.
• Competitive salaries and stock options.
• Opportunity to grow within a high-growth company.

Moreover, Scale AI supports a strong mission: enabling safe and scalable AI through data quality.

Types of Careers at Scale AI

Scale AI offers a wide range of job categories. From engineering roles to quality assurance, there’s something for nearly every skill set.

Here’s a breakdown:

Technical Roles

• Machine Learning Engineer
• Software Engineer (Frontend, Backend, Full Stack)
•  Data Engineer
•  Infrastructure Engineer
•  AI Research Scientist

Non-Technical Roles

• Project Manager
• Product Manager
• Technical Program Manager
• People Operations and HR
• Business Analyst

Annotation and QA Roles

• Data Annotator (Remote/Freelance)
• Quality Reviewer
• Linguistic Specialist
• Content Labeling Expert

Table: Popular Scale AI Careers in 2025

 

Job Title	Department	Required Skills	Avg. Salary (USD/year)	Remote Options
ML Engineer	Engineering	Python, TensorFlow, PyTorch, AWS	$140,000 – $190,000	Yes
Software Engineer (Full Stack)	Engineering	JavaScript, React, Node.js, APIs	$130,000 – $180,000	Yes
Product Manager	Product	Agile, UX, Roadmapping, Market Research	$120,000 – $160,000	Yes
Data Annotator	Data Ops	Attention to detail, tool use	$15 – $25/hour	Yes (Freelance)
Quality Assurance Specialist	QA/Support	Data review, communication	$60,000 – $90,000	Yes
AI Researcher	Research	Deep learning, ML algorithms	$150,000 – $200,000	Partial

 

Technical Program Manager

Engineering Ops

Scheduling, engineering collaboration

$110,000 – $140,000

Yes

 How to Apply for Scale AI Careers

Applying to Scale AI is fairly straightforward. Their careers page lists open positions with full descriptions.

Step-by-Step Guide:

•   Visit the Scale AI Careers Page

Go to: https://scale.com/careers

•   Filter Jobs

Choose by location, department, or role type (full-time, contract, freelance).

•   Submit Resume

Include a resume tailored to the position. Focus on results and achievements.

•  Cover Letter (Optional but Helpful)

Highlight your passion for AI and past experience in tech or data.

•  Online Assessments (For Annotators)

Some freelance roles require qualification tasks before you can work.

• Interview

Tech roles involve coding tests and technical rounds. Non-tech roles involve behavioral interviews. 

Skills Needed for Scale AI Jobs

Depending on the role, skills vary. However, some general competencies are valued across all positions: 

Core Technical Skills

• Python, SQL, or JavaScript
• Data annotation tools
• Machine learning libraries (scikit-learn, PyTorch, TensorFlow)
• REST APIs and microservices
• DevOps and cloud environments (AWS, GCP)

Soft Skills

• Attention to detail
• Clear written and verbal communication
• Team collaboration
• Analytical thinking 
•  Time management

Bonus Skills

• AI ethics and bias mitigation
• Knowledge of LLMs (Large Language Models)
• Experience in autonomous systems or defense AI

Remote and Freelance Opportunities

One of the most accessible ways to start with Scale AI careers is through freelance annotation work. These roles are ideal for:

Students

Career switchers

Remote workers

Part-time professionals

Scale AI offers flexible work hours and project-based assignments. All you need is a computer, stable internet, and strong focus.

Benefits of Working at Scale AI

Here are some perks that attract top talent:

• Competitive base salary and equity
• 401(k) retirement plan (U.S. employees)
• Health, dental, and vision insurance
• Paid parental leave
• Professional development stipends
• Annual performance bonuses
• Hybrid or fully remote options
• Regular team events and company off-sites 
• Scale AI also fosters diversity, inclusion, and continuous learning.

Internships and Entry-Level Jobs

Scale AI is open to early-career talent. Internships are available for:

• Software engineering
• Product design
• Machine learning
• Business operations

Interns work on real projects with mentorship and support. Entry-level full-time roles are also offered to new graduates.

To qualify, focus on your academic projects, GitHub contributions, and online courses.

Career Growth at Scale AI

Employees often move between departments or get promoted quickly. For example:

• Annotators become QA leads or training coordinators.
• Engineers become team leads or move into product management.
• Analysts shift to machine learning or business strategy.

Scale AI also offers learning budgets and internal mobility programs to support long-term growth.

Frequently Asked Questions

How can I get a remote job at Scale AI?

Start by checking the remote filters on their official careers page.

Many positions, especially in data annotation and QA, are fully remote. Make sure your resume highlights remote collaboration experience. Mention any freelancing or independent work you’ve done before. Also, stay updated on contract openings through platforms like Remotive.io and We Work Remotely where Scale sometimes posts.

What qualifications are needed for technical roles at Scale AI?

Most technical roles require a degree in CS, engineering, or related fields.

However, real-world experience often matters more. You should know languages like Python or JavaScript and understand machine learning basics. Experience with APIs, cloud platforms, or distributed systems is a plus. Certifications in AI/ML from platforms like Coursera or Udacity can strengthen your profile.

Are there opportunities for students or fresh graduates?

Yes, Scale AI hires interns and junior professionals regularly.

You can apply for internships through their careers page or university recruitment events. Make sure your resume includes personal projects, coding challenges, or AI-related competitions like Kaggle. Even open-source contributions are considered valuable.

Is data annotation a good way to start with Scale AI careers?

Absolutely, especially for those entering the AI field.

Annotation work helps you understand how AI models learn from data. You gain exposure to real datasets and labeling standards. It can also lead to full-time or supervisory roles within Scale. Plus, it’s flexible and often remote.

Conclusion: Why Scale AI Careers Are Worth Exploring

In 2025, Scale AI careers stand out as a gateway into the booming AI ecosystem. Whether you’re a seasoned software developer or a student eager to break into tech, there are roles to match your interests and experience level.

From flexible annotation jobs to high-level engineering positions, Scale AI offers career paths that are not only impactful but also rewarding. The company values talent, encourages growth, and is deeply involved in shaping the future of artificial intelligence.

With the rise of AI in every industry, Scale AI is likely to continue expanding its workforce. Therefore, getting in early could be a strategic move. As more companies rely on clean data and intelligent systems, working at Scale means contributing directly to world-changing technologies.

In summary, Scale AI careers are:

• Accessible from anywhere in the world.
•  Open to beginners and experts alike.
• Focused on cutting-edge technology.
• Fast-moving and full of growth potential.

So whether you’re exploring remote AI jobs or aiming for a long-term tech career, don’t overlook the opportunities at Scale. This might just be the launchpad your career needs in today’s AI-powered world.