AI is becoming vitally important in every function of our society. At Scale, 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 usage of frontier data and models by building complex agents for enterprises around the world through our Scale Generative Platform (SGP).

Remote Data Entry, No Experience, $40/hr, Part-Time
Virtual Assistant, $45/hr, Remote, No Experience, Night Job
Entry-Level Remote Data Entry, $50/hr, Evening Job
Customer Support, No Degree, $40/hr, Remote, Weekend Job
Remote Phone Job, $42/hr, Part-Time, College Student Friendly
Virtual Assistant, $40/hr, Remote, No Degree, Night Job
Part-Time Data Entry, $45/hr, Remote, College Student Friendly
Remote Moderator, No Degree, $50/hr, Evening, Weekend Job
Remote Customer Support, $42/hr, Night Job, No Experience
Live Chat Support, $40/hr, Remote, Entry Level, Part-Time
Virtual Assistant, Remote, $42/hr, Weekend, No Experience
Remote Data Entry, $45/hr, No Degree, Night Shift
Part-Time Customer Support, $40/hr, Remote, College Student
Remote Live Chat, $50/hr, Part-Time, Evening/Night Job
Entry Level Phone Job, $42/hr, Remote, No Degree Required
Weekend Data Entry, $45/hr, Remote, No Experience
Remote Virtual Assistant, $40/hr, Evening, Part-Time Job
Remote Moderator, $42/hr, Part-Time, Weekend, No Degree
Data Entry, $45/hr, Remote, Night Shift, College Student Job
Phone Support, Remote, $50/hr, No Experience, Part-Time
Virtual Assistant, No Experience, $42/hr, Remote, Weekend
Remote Customer Support, $45/hr, Part-Time, College Student
Data Entry, Remote, $40/hr, Night Shift, No Degree
Evening Virtual Assistant, Remote, $45/hr, No Experience
Weekend Customer Support, $42/hr, Remote, College Student
Remote Data Entry, $50/hr, No Experience, Evening/Night Job
Virtual Assistant, $42/hr, Remote, Weekend, Entry Level
Remote Phone Support, $45/hr, Evening, No Experience Required
Data Entry, No Experience, $50/hr, Remote, College Student
Remote Moderator, $40/hr, Weekend, No Degree, Part-Time
Live Chat Support, Remote, $42/hr, Night Shift, College Student
Phone Job, $50/hr, Remote, No Degree, Part-Time, Weekend
Data Entry, $45/hr, Remote, Evening, No Experience Required
Virtual Assistant, No Experience, $42/hr, Remote, Part-Time
Remote Customer Support, $50/hr, Night Shift, No Degree
Remote Data Entry, $40/hr, College Student Friendly, Part-Time
Live Chat Support, $42/hr, Weekend, Remote, No Degree
Virtual Assistant, Remote, $45/hr, Evening, No Experience
Remote Phone Job, $50/hr, College Student, Night Shift
Remote Moderator, $42/hr, Weekend, No Experience Required
Data Entry, No Degree, $45/hr, Part-Time, Remote Job
Customer Support, $50/hr, Remote, Evening/Night Job, No Degree
Virtual Assistant, $42/hr, Remote, Weekend, No Degree
Remote Live Chat, $45/hr, College Student, No Experience
Remote Data Entry, $40/hr, Part-Time, No Degree Required
Phone Support, $50/hr, Weekend, Remote, No Experience
Virtual Assistant, $42/hr, Evening, Remote, No Degree
Remote Customer Support, $45/hr, No Experience, Part-Time
Data Entry, $50/hr, Night Job, No Degree, Remote
Remote Moderator, $40/hr, College Student Friendly, Part-Time
Virtual Assistant, Remote, $42/hr, Weekend, No Experience
Remote Phone Job, $45/hr, Part-Time, No Degree Required
Customer Support, $50/hr, Night Job, Remote, No Experience
Data Entry, Remote, $42/hr, Evening Job, No Degree
Live Chat Support, $45/hr, Weekend, Remote, College Student
Virtual Assistant, Remote, $50/hr, Part-Time, Night Shift
Data Entry, $40/hr, No Experience, Remote, Weekend Job
Remote Phone Job, $45/hr, No Degree, College Student Friendly
Customer Support, $42/hr, Remote, Evening, No Experience
Virtual Assistant, $50/hr, Weekend, No Degree, Remote
Remote Data Entry, $40/hr, Part-Time, College Student Job
Phone Support, Remote, $42/hr, Evening/Night Shift
Virtual Assistant, No Degree, $45/hr, Remote, Part-Time
Live Chat Support, $50/hr, Remote, No Experience Required
Remote Moderator, $42/hr, College Student, Weekend Job
Data Entry, $45/hr, Remote, Night Job, No Degree
Virtual Assistant, $50/hr, Remote, Part-Time, Evening Job
Remote Customer Support, $42/hr, Weekend, No Experience
Phone Job, $45/hr, Remote, Night Shift, No Degree
Remote Live Chat, $50/hr, College Student, No Experience
Data Entry, $40/hr, Part-Time, Remote, Weekend Job
Virtual Assistant, $42/hr, Remote, No Experience, Evening
Remote Phone Support, $45/hr, Night Job, College Student
Remote Moderator, $50/hr, No Degree, Weekend, Part-Time
Virtual Assistant, $40/hr, Remote, Night Shift, No Experience
Customer Support, $42/hr, Remote, Part-Time, No Degree
Remote Data Entry, $45/hr, Weekend Job, College Student
Phone Support, Remote, $50/hr, No Experience, Night Shift
Virtual Assistant, $42/hr, Evening, Remote, College Student
Live Chat Support, $45/hr, Part-Time, Remote, No Degree
Data Entry, $50/hr, Remote, Evening Job, College Student
Virtual Assistant, $40/hr, Weekend, Remote, No Experience
Remote Phone Job, $42/hr, Night Shift, College Student Friendly
Remote Customer Support, $45/hr, No Degree, Evening Job
Virtual Assistant, $50/hr, Part-Time, Remote, Weekend Job
Data Entry, $40/hr, Evening Job, No Experience, Remote
Remote Live Chat, $42/hr, Weekend, No Degree, Part-Time
Virtual Assistant, $45/hr, No Experience, Remote, Night Job
Phone Job, $50/hr, Remote, Part-Time, College Student
Remote Data Entry, $42/hr, Evening/Night Job, No Experience

The SGP ML team works on the front lines of this AI revolution. We interface directly with clients to build cutting edge products using the arsenal of proprietary research and resources developed at Scale. As an Applied AI Engineer, you’ll work with clients to create ML solutions to satisfy their business needs. Your work will range from building next-generation AI cybersecurity firewalls to creating transformative AI experiences in journalism to applying foundation genomic models making predictions about life-saving drug proteins. Daily data-driven experiments will provide key insights around model strengths and inefficiencies which you’ll use to improve your product’s performance. If you are excited about shaping the future of the modern AI movement, we would love to hear from you!

You will:

• Own, plan, and optimize the AI behind our Enterprise customer’s deepest technical problems
• Leverage SGP to build the most advanced AI agents across the industry including multimodal functionality, tool-calling, and more
• Have experience gathering business requirements and translating them into technical solutions
• Meet regularly with customer teams onsite and virtually, collaborating cross-functionally with all teams responsible for their data and ML needs
• Push production code in multiple development environments, writing and debugging code directly in both our customer’s and Scale’s codebases.
• Be able and willing to multi-task and learn new technologies quickly

Ideally you'd have:

• A love for solving deeply complex technical problems with ambiguity using state of the art research and AI to accomplish your client’s business goals
• Strong engineering background: a Bachelor’s degree in Computer Science, Mathematics, or another quantitative field or equivalent strong engineering background.
• Deep familiarity with a data-driven approach when iterating on machine learning models and how changes in datasets can influence model results
• Experience working with cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment
• Proficiency in Python to write, test and debug code using common libraries (ie numpy, pandas)

Nice to haves:

• Strong knowledge of software engineering best practices
• Have built applications taking advantage of Generative AI in real, production use cases
• Familiarity with state of the art LLMs and their strengths/weaknesses

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, determined by work location and additional factors, including job-related skills, experience, 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:

$168,200 - $248,500 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, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI. Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. 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 affirmative action employer and 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 for additional information.