AI Engineer Jobs at Scale AI with Visa Sponsorship
AI Engineer jobs at Scale AI involve building the data infrastructure and evaluation systems behind frontier AI models. The company actively sponsors a range of work visas for technical roles, making it a realistic target if you need employer support to work legally in the United States.
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INTRODUCTION
Scale AI's Advisory practice is the most forward-leaning bet in our go-to-market motion. We're not waiting for clients to hand us a scope — we get in front of the decision, shape the right AI problems before a build begins, and make Scale the obvious partner for what comes next. Advisory is the structured answer to the question enterprises are already asking us: "What should we build, and where do we start?" It's a discovery and scoping phase that runs before delivery — designed to land bigger contracts, drive more predictable execution, and accelerate expansion. By 2027, it will be Scale's default first engagement with new enterprise clients.
As an AI Advisory Consultant, you sit at the center of every engagement — paired with a Principal, producing the research, synthesis, impact sizing, and workshop materials that shape the work, and pressure-testing the team's assumptions. You also run the engagement day-to-day — owning the timelines, trackers, and coordination across Solutions Engineering and Design, and acting as the single source of truth that keeps everything on track from kickoff to final readout. This is a delivery role; you own real parts of the advisory work and partner closely with the Principal to deliver the engagement. It's a direct path into the AI Advisory Principal track.
ROLE AND RESPONSIBILITIES
You're at the center of every engagement — doing the work and keeping it on track.
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Deliver the core advisory work. You produce the output the engagement runs on — market research, impact sizing, synthesis, and workshop materials — working alongside the Principal.
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Run the engagement day-to-day. You own the timelines, trackers, and single source of truth — monitoring open items and follow-ups across Solutions Engineering and Design, and keeping the engagement on track from kickoff to final readout. Working closely with the Solutions Engineering workstream, you weave their technical and feasibility findings into the readouts so the engagement tells one coherent story.
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Build the case ahead of client conversations. You develop the research and supporting materials that set up pre-sales conversations to land, and support the Principal in building out vertical thought leadership.
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Turn each engagement into reusable knowledge. You own the debrief notes, findings write-ups, and structured hand-offs after each engagement, and you contribute the patterns and materials that improve the motion and playbook.
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Build the AI workflows that make us faster. You spot where the team's work can be automated or templatized — recaps, status tracking, synthesized readouts, reusable materials — and you build those AI-powered solutions, not just flag them. You also set up baseline measurement and tracking.
BASIC QUALIFICATIONS
Ideally, you’d have
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Consultant equivalent experience at a Tier 1 firm (McKinsey, Bain, BCG ideally); 3+ years of work experience. Experience on AI strategy or transformation projects strongly preferred.
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A track record of structured, analytics-driven problem solving — turning messy, ambiguous inputs into a clear, defensible point of view.
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Excellent communication — produces clean, exec-ready first drafts of findings and materials that need little editing.
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A history of diligence and organization across multiple workstreams — owns the trackers and details so nothing slips, even under time pressure.
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Technical credibility. No engineering degree required. You are curious enough to push back on engineering leads when the architecture or the accuracy story doesn't hold up.
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Hands-on with GenAI in daily work — can point to concrete examples of using AI tools to work faster.
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Commercial instinct. You think in business levers. You articulate ROI without prompting and spot upsell logic the Account Executives missed.
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Willingness to travel 30-60 percent, which can include international trips depending on the account.
PREFERRED QUALIFICATIONS
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0-to-1 experience developing or deploying GenAI applications in an enterprise setting.
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Exposure to enterprise AI or one of Scale's target verticals (Consumer, Financial & Professional Services, Healthcare & Life Sciences).
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Experience designing and synthesizing design-thinking workshops.
COMPENSATION
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.
For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $141,600—$177,000 USD.
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: 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.
EEO Statement:
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.
See all 42+ AI Engineer Jobs at Scale AI
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Get Access To All JobsTips for Finding AI Engineer Jobs at Scale AI
Build a portfolio around data labeling pipelines
Scale AI's AI Engineer roles center on data quality, RLHF pipelines, and model evaluation infrastructure. Projects that demonstrate hands-on experience with large-scale annotation workflows or fine-tuning processes will align directly with what their technical interviewers are assessing.
Confirm your visa category before applying
Scale AI sponsors H-1B, E-3, TN, F-1 OPT, and Green Card pathways. Knowing which category fits your nationality and degree saves time during recruiter screens, where sponsorship eligibility often gets resolved in the first conversation.
Start OPT applications at least four months early
USCIS recommends filing your OPT EAD application no earlier than 90 days before your program end date. Given current processing timelines, filing as close to that 90-day window as possible is critical before starting any AI Engineer role at Scale AI.
Request an H-1B timeline walkthrough during negotiation
If you receive an offer outside the H-1B lottery window, ask the Scale AI recruiting team directly how they handle cap-subject petitions. Companies with active sponsorship programs typically have established legal counsel and a clear internal process for managing lottery timing and status changes.
Use Migrate Mate to filter verified AI Engineer openings
Scale AI posts AI Engineer roles across multiple job boards with inconsistent sponsorship language. Use Migrate Mate to surface only positions confirmed to offer visa sponsorship, so you're targeting roles where the company has already indicated willingness to file.
Prepare your specialty occupation documentation early
USCIS requires AI Engineer roles to meet specialty occupation standards under H-1B regulations. Gather your transcripts, any credential evaluations for foreign degrees, and employment letters that tie your specific academic background to the technical requirements of the role.
Frequently Asked Questions
Does Scale AI sponsor H-1B visas for AI Engineers?
Yes, Scale AI sponsors H-1B visas for AI Engineer roles. If you're subject to the H-1B cap, timing matters because USCIS runs the lottery once per year with an April 1 filing window for October 1 start dates. Scale AI's legal team typically manages the petition process, but you'll want to align your offer timeline with that annual window.
How do I apply for AI Engineer jobs at Scale AI?
You can apply directly through Scale AI's careers page or find verified AI Engineer openings with confirmed visa sponsorship on Migrate Mate. Roles at Scale AI for this function often require experience in machine learning infrastructure, data pipelines, or model evaluation. Tailoring your application to their specific technical stack, including familiarity with RLHF and large-scale data labeling, strengthens your candidacy.
Which visa types does Scale AI commonly use for AI Engineer roles?
Scale AI sponsors H-1B, E-3 visa, TN visa, F-1 OPT, F-1 CPT, J-1 visa, and EB-2 and EB-3 immigrant visas for AI Engineer positions. Australian citizens can pursue the E-3 visa as a faster alternative to the H-1B lottery. Canadian and Mexican nationals in qualifying occupations may be eligible for TN visa status, which has no lottery and can be processed at the border.
What qualifications does Scale AI expect for AI Engineer roles?
Scale AI's AI Engineer positions typically require a bachelor's or master's degree in computer science, machine learning, or a closely related field. Practical experience with model training pipelines, evaluation frameworks, or data quality systems carries significant weight. For H-1B purposes, your degree must directly relate to the job duties, so a clear alignment between your academic background and the specific role is important for the petition.
How do I time my application if my OPT or current visa status is running out?
If you're on F-1 OPT, you have a 60-day grace period after employment ends, but you can't accrue more than 90 days of unemployment on post-completion OPT without jeopardizing your status. For H-1B transfers from another employer, portability rules allow you to start at Scale AI once the petition is filed and received by USCIS, without waiting for approval. Aligning your start date with these windows takes coordination with Scale AI's HR team early in the offer process.