AI Data Engineer Jobs at Anthropic with Visa Sponsorship
AI Data Engineer jobs at Anthropic involve building and maintaining the data infrastructure that trains frontier AI models. The company sponsors H-1B visa, H-1B1 visa, and E-3 visas for this function, and its active sponsorship track record reflects consistent demand for qualified international candidates in this role.
Find AI Data Engineer Jobs at AnthropicOverview
Showing 5 of 16+ AI Data Engineer Jobs at Anthropic
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
See all AI Data Engineer Jobs at Anthropic
Sign up for free to unlock all listings, filter by visa type, and get alerts for new AI Data Engineer Jobs at Anthropic.
Get Access To All JobsAbout Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About The Role
As a member of the Applied AI team at Anthropic, you will be a technical Product Engineer focused on becoming a trusted technical advisor to Digital Native Businesses - technology companies adopting the Claude API into their core products. You will work closely with customer product and engineering teams as they ship new products powered by Claude: advising on architecture design decisions, developing evaluation frameworks, and guiding customers through the most cutting-edge implementation patterns for LLMs. Working closely with our Sales, Product, and Engineering teams, you'll guide a focused portfolio of customers from technical discovery through successful deployment. You'll combine deep engineering expertise with customer-facing skills to help customers unlock the full potential of Claude APIs and move their products closer to the frontier, while maintaining our high standards for safety and reliability.
Responsibilities
- Serve as a specialist technical advisor to Anthropic customers as they deploy new products & workflows with our models: from discovery through deployment, coordinating internally across multiple teams to drive customer success
- Partner with account executives and solutions architects to translate customer business requirements into technical solutions
- Influence technical architecture decisions and customer product strategy by developing customized pilots, prototypes, and evaluation suites
- Lead hands-on technical workshops and code reviews with customer engineering teams
- Identify common design patterns and contribute insights back to our Product and Engineering teams
- Create scalable public and internal assets, documenting the latest LLM prompting, evaling, agentic, and architecture techniques
- Maintain strong knowledge of the latest developments in LLM capabilities, implementation patterns, and AI product development stacks
- Travel occasionally to customer sites for workshops, implementation support, and building relationships
- Attend conferences, lead speaking engagements, write blog posts and white papers on topics surrounding the AI space
You May Be a Good Fit If You Have
- 4+ years of experience in technical roles such as Forward Deployed Engineer, Software Engineer or Technical Product Manager with a desire to work closely with customers. Former technical founders are also encouraged to apply.
- Production experience with LLMs including advanced prompt engineering, agent development and frameworks, evaluation frameworks, transcript analysis, MCP, and deployment at scale
- Strong programming skills with proficiency in Python or TypeScript and experience building production applications
- Ability to navigate ambiguity and execute across domains with intellectual openness, finding simple solutions to complex problems
- High cooperation mindset for cross-organizational collaboration, balancing competing priorities with integrity
- Passion for advancing safe, beneficial AI systems through creative technical applications
- Exceptional communication skills to convey technical concepts to diverse stakeholders while maintaining a low ego and collaborative approach
Please note this role requires 3 days in office per week.
Deadline to apply: None. Applications will be reviewed on a rolling basis.
Annual Salary
$200,000—$320,000 USD
Logistics
Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.
Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
How We're Different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About The Role
As a member of the Applied AI team at Anthropic, you will be a technical Product Engineer focused on becoming a trusted technical advisor to Digital Native Businesses - technology companies adopting the Claude API into their core products. You will work closely with customer product and engineering teams as they ship new products powered by Claude: advising on architecture design decisions, developing evaluation frameworks, and guiding customers through the most cutting-edge implementation patterns for LLMs. Working closely with our Sales, Product, and Engineering teams, you'll guide a focused portfolio of customers from technical discovery through successful deployment. You'll combine deep engineering expertise with customer-facing skills to help customers unlock the full potential of Claude APIs and move their products closer to the frontier, while maintaining our high standards for safety and reliability.
Responsibilities
- Serve as a specialist technical advisor to Anthropic customers as they deploy new products & workflows with our models: from discovery through deployment, coordinating internally across multiple teams to drive customer success
- Partner with account executives and solutions architects to translate customer business requirements into technical solutions
- Influence technical architecture decisions and customer product strategy by developing customized pilots, prototypes, and evaluation suites
- Lead hands-on technical workshops and code reviews with customer engineering teams
- Identify common design patterns and contribute insights back to our Product and Engineering teams
- Create scalable public and internal assets, documenting the latest LLM prompting, evaling, agentic, and architecture techniques
- Maintain strong knowledge of the latest developments in LLM capabilities, implementation patterns, and AI product development stacks
- Travel occasionally to customer sites for workshops, implementation support, and building relationships
- Attend conferences, lead speaking engagements, write blog posts and white papers on topics surrounding the AI space
You May Be a Good Fit If You Have
- 4+ years of experience in technical roles such as Forward Deployed Engineer, Software Engineer or Technical Product Manager with a desire to work closely with customers. Former technical founders are also encouraged to apply.
- Production experience with LLMs including advanced prompt engineering, agent development and frameworks, evaluation frameworks, transcript analysis, MCP, and deployment at scale
- Strong programming skills with proficiency in Python or TypeScript and experience building production applications
- Ability to navigate ambiguity and execute across domains with intellectual openness, finding simple solutions to complex problems
- High cooperation mindset for cross-organizational collaboration, balancing competing priorities with integrity
- Passion for advancing safe, beneficial AI systems through creative technical applications
- Exceptional communication skills to convey technical concepts to diverse stakeholders while maintaining a low ego and collaborative approach
Please note this role requires 3 days in office per week.
Deadline to apply: None. Applications will be reviewed on a rolling basis.
Annual Salary
$200,000—$320,000 USD
Logistics
Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.
Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
How We're Different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
See all AI Data Engineer Jobs at Anthropic
Sign up for free to unlock all listings, filter by visa type, and get alerts for new AI Data Engineer Jobs at Anthropic.
Get Access To All JobsTips for Finding AI Data Engineer Jobs at Anthropic
Tailor your portfolio to frontier model data
Anthropic's AI Data Engineer roles center on large-scale training data pipelines and RLHF dataset construction. Showcase projects involving data curation at scale, human feedback workflows, or pre-training data quality systems rather than generic ETL or business intelligence work.
Confirm your visa category before applying
Anthropic sponsors H-1B, H-1B1 visa, and E-3 visas for this role. If you're Australian or a Singaporean national, clarify with the recruiter early whether they'll file an E-3 or H-1B1 petition, since processing timelines and renewal structures differ meaningfully between those categories.
Time your application around H-1B registration windows
If you need H-1B sponsorship and aren't currently in a cap-exempt status, the USCIS registration window opens each March for an October 1 start date. Starting your Anthropic job search in the preceding fall gives you enough runway to clear interviews before registration opens.
Request premium processing during offer negotiation
USCIS offers premium processing for H-1B petitions, reducing adjudication to roughly 15 business days. Raising this with Anthropic's recruiting team before you sign the offer letter is easier than requesting it after the petition has already been filed.
Search verified AI Data Engineer roles on Migrate Mate
Filter for AI Data Engineer openings at Anthropic on Migrate Mate to see roles confirmed to accept your specific visa type. This saves time you'd otherwise spend emailing recruiters to confirm sponsorship eligibility before applying.
Address specialty occupation evidence in your application materials
USCIS scrutinizes whether AI Data Engineer roles qualify as specialty occupations. Frame your resume and cover letter around the theoretical and applied depth required: degree-level knowledge of distributed systems, data provenance, or ML data infrastructure signals that the role isn't generalist.
Frequently Asked Questions
Does Anthropic sponsor H-1B visas for AI Data Engineers?
Yes, Anthropic sponsors H-1B visas for AI Data Engineer roles. The company has an active sponsorship track record for this function across its Science and Research work. If you're subject to the H-1B cap and haven't been selected in a prior lottery, timing your offer to align with the March USCIS registration window is the most practical path forward.
Which visa types does Anthropic commonly use for AI Data Engineer roles?
Anthropic sponsors H-1B, H-1B1 visa, and E-3 visas for AI Data Engineer positions. H-1B is the most broadly applicable. H-1B1 is available to Singaporean and Chilean nationals, and E-3 is available exclusively to Australian citizens. Each carries different annual filing windows, renewal structures, and dependent work authorization rules, so confirm which applies to your nationality early in the process.
What qualifications does Anthropic expect for AI Data Engineer positions?
Anthropic typically expects a bachelor's degree or higher in computer science, statistics, or a related technical field, along with hands-on experience building large-scale data pipelines. For roles supporting model training, experience with human feedback data, data quality systems, or distributed data infrastructure is particularly relevant. Depth in Python, SQL, and familiarity with ML workflows strengthens your application significantly over general data engineering experience.
How do I apply for AI Data Engineer jobs at Anthropic?
You can apply directly through Anthropic's careers page. To confirm visa sponsorship eligibility before applying, browse AI Data Engineer openings at Anthropic on Migrate Mate, where roles are filtered by visa type so you can identify positions that match your sponsorship needs. During the application process, be prepared for multiple technical rounds focused on data systems design, coding, and occasionally a domain-specific assessment tied to AI data workflows.
How long does the visa sponsorship process take once Anthropic extends an offer?
For H-1B petitions filed with USCIS, standard processing takes three to five months. Premium processing reduces adjudication to around 15 business days. E-3 and H-1B1 visa petitions processed at a U.S. consulate abroad are typically faster, often decided at the interview appointment. Factor in LCA certification with the DOL, which precedes the USCIS filing and generally takes one to two weeks, when planning your start date.