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Responsibilities:

• Own the end-to-end program for improving Claudes multilingual capabilities, from identifying language-specific gaps through research execution to production
• Partner with pre-training and post-training research teams on multilingual data strategies and training approaches to improve Claudes performance across languages
• Design and implement evaluation frameworks for multilingual model quality, including benchmarks for low-resource languages and regression testing across model updates
• Coordinate multilingual dataset collection and curation, working with internal teams and external partners to build high-quality training and evaluation data across languages
• Act as connective tissue between research, product engineering, and data infrastructure teams to reduce chaos and accelerate multilingual improvements
• Manage strategic partnerships with external organizations for dataset acquisition, linguistic expertise, and multilingual evaluation, including technical scoping, data quality requirements, and integration workflows

You May Be a Good Fit If You:

• Have a background in NLP, computational linguistics, or multilingual AI research
• Have several years of experience in technical program management, with a track record of driving complex programs that span research and engineering teams
• Can engage credibly with researchers on multilingual training data strategies, evaluation methodology, and model capability assessment. Youre not just tracking tasks, youre contributing to technical direction
• Have experience building evaluation pipelines and frameworks that give meaningful signal about model quality across languages, not just benchmark scores
• Have worked with multilingual datasets at scale and understand annotation frameworks across languages, data quality challenges, and the operational complexity of sourcing data for languages with limited digital resources
• Have experience coordinating with external data partners, linguistic consultants, or research institutions for dataset creation or evaluation across languages
• Understand how research improvements translate into shipped product features and can work across research and product engineering to move multilingual capabilities from prototype to production
• Build trust quickly with research teams. Researchers see you as someone who amplifies their impact, not someone who adds process overhead
• Bonus if you speak multiple languages and have seen firsthand how language technology performs across them

Deadline to Apply:None, applications will be received on a rolling basis.

The annual compensation range for this role is listed below.

For sales roles, the range provided is the roles On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

Annual Salary:

$365,000-$405,000USD

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 prema urely 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.comemail 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 linksvisit

anthropic.com/careers{target="_blank"}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 and Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.