SupportFinity is hiring: Software Engineer, Human Data Interface in New York

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
Anthropic's Human Data Interfaces team builds the systems that collect data to improve our models. This includes novel interfaces for data vendors, tooling, and front-end and back-end infrastructure that enables researchers to gather high-quality data at scale. As a Software Engineer, you'll own the architecture and execution of our data collection pipelines — designing systems that are both performant at scale and resilient to the rapidly changing needs of our research teams. You'll work closely with researchers, our cross-functional data operations partners, and the crowdworkers and vendors who use these tools day-to-day.

Responsibilities

Architect and build data collection pipelines that support rapid iteration, balancing data quality and system maintainability

Think deeply about the experience of the crowdworkers and vendors using these systems, building interfaces that are clear, efficient, and lead to high-quality data

Collaborate closely with research teams to understand evolving data needs and iterate quickly on collection methods

Partner with our Human Data Operations team to understand the end-to-end data workflow and design interfaces that make their jobs easier

Prioritize and juggle multiple workstreams, making trade-off decisions in a fast-moving environment where research priorities can shift quickly

You May Be a Good Fit If You

Believe that advanced AI systems could have a transformative effect on the world and are interested in helping make sure that transformation goes well

Are a strong full-stack engineer with broad experience across the stack

Are very good at building internal tools, including working with users of the tools to understand their needs

Thrive in fast-moving environments where you need to balance speed of iteration with long-term system health

Are a quick study—this team sits at the intersection of a large number of different complex technical systems that you'll need to understand (at a high level) to be effective

Strong Candidates May Also Have

Experience building human data labelling interfaces, human-in-the-loop systems, or data collection pipelines

Familiarity with how preference data and reward models are used in AI model training

Experience working with researchers who are internal users/customers

Background in building, and improving the user-experience of user-facing applications, particularly those involving complex UI interactions or annotation workflows

Strong instincts around system design — building things that evolve gracefully as requirements change

Experience influencing technical and product direction on a team

Compensation
Annual Salary: $320,000—$405,000 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.

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

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In Summary: 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 . As a Software Engineer, you'll own the architecture and execution of our data collection pipelines .

En Español:

La misión de Anthropic es crear sistemas inteligentes fiables, interpretables y controlables. Queremos que la IA sea segura y beneficiosa para nuestros usuarios y para toda la sociedad. Nuestro equipo es un grupo en rápido crecimiento de investigadores comprometidos, ingenieros, expertos políticos y líderes empresariales que trabajan juntos para construir sistemas de AI beneficiosos. Trabajará en estrecha colaboración con investigadores, nuestros socios de operaciones de datos interfuncionales y los equipos de investigación que utilizan estas herramientas día a día. Responsabilidades Arquitecto y construye tuberías de recopilación de datos que apoyan la iteración rápida, equilibrar la calidad de los datos y el mantenimiento del sistema Piense profundamente en la experiencia de los trabajadores de masas y vendedores que usan estos sistemas, construyendo interfaces que sean claras, eficientes y conduzcan a una alta calidad de datos Colaborar en forma conjunta con equipos de trabajo para comprender las necesidades cambiantes de datos e iterar rápidamente sobre métodos de recolección Sin embargo, algunos papeles pueden requerir más tiempo en nuestras oficinas. Patrocinio de visado: sí patrocinamos visas! sin embargo, no podemos patrocinar con éxito los visados para cada papel y cada candidato. Pero si le hacemos una oferta, haremos todos los esfuerzos razonables para obtenerle un visa, y retendremos a un abogado de inmigración para ayudarlo con esto. Le animamos a solicitar incluso si usted no cree que cumpla todas las calificaciones. No todos los candidatos fuertes cumplirán cada calificación tal como se indica. La investigación muestra que las personas que se identifican como pertenecientes a grupos subrepresentados son más propensas a experimentar el síndrome del impostor y dudar sobre la fortaleza de su candidatura, por lo que le instamos a no excluirse prematuramente y presentar una solicitud si está interesado en este trabajo. Creemos que sistemas de seguridad como los cuales estamos construyendo tienen enormes implicaciones sociales e éticas. Pensamos que esta representación sólida hace que sea importante identificarnos a nosotros mismos antes de ser contratados. Si alguna vez no está seguro de una comunicación, no haga clic en ningún vínculovisite anthropic.com/carrieras directamente para obtener oportunidades confirmadas de empleo. Cómo somos diferentes Creemos que la investigación AI con mayor impacto será la ciencia grande. En Anthropic trabajamos como un equipo único y cohesivo en solo unos pocos esfuerzos de investigación a gran escala. Y valoramos el impacto avanzar nuestros objetivos a largo plazo de inteligencia artificial controlada y confiable en lugar de trabajar en rompecabezas más pequeñas y específicas. Consideramos la investigación de IA Learn como una ciencia empírica, que tiene tanto en común con física y biología como con los esfuerzos tradicionales en ciencias informáticas. Somos un grupo extremadamente colaborativo, y ofrecemos discusiones de investigación muy frecuentes para asegurarnos de que estamos realizando el trabajo de mayor impacto en cualquier momento dado. Como tal, nos beneficiamos enormemente del uso de habilidades de comunicación.