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Entry Level Ai Data Rater Jobs in New York (NOW HIRING)

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

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Entry Level Ai Data Rater information

What are the key skills and qualifications needed to thrive as an entry level AI data rater?

To thrive as an Entry Level AI Data Rater, you need strong analytical skills, attention to detail, and basic computer literacy, often supported by a high school diploma or equivalent. Familiarity with web browsers, online research tools, and proprietary rating platforms is typically required; some roles may also ask for knowledge of specific guidelines or quality assurance systems. Excellent communication, critical thinking, and time management are crucial soft skills for interpreting data and meeting productivity targets. These competencies ensure accurate data labeling and evaluation, directly impacting the quality of AI training and system performance.

What is the difference between Entry Level Ai Data Rater vs Data Labeler?

AspectEntry Level Ai Data RaterData Labeler
Required CredentialsHigh school diploma or equivalent; no specialized certification often neededHigh school diploma or equivalent; may require basic training
Work EnvironmentRemote or office-based; working with AI datasetsRemote or on-site; labeling data for machine learning models
Employer & Industry UsageTech companies, AI startups, data annotation firmsTech companies, data annotation services, AI development firms

Both roles involve working with data to improve AI systems, but Entry Level Ai Data Raters often focus on evaluating AI outputs, while Data Labelers primarily annotate data. The roles are similar in credentials and work environment, with slight differences in job focus.

What are the most common challenges faced by entry level AI data raters, and how can they be addressed?

One of the most common challenges for Entry Level AI Data Raters is maintaining consistency and accuracy when evaluating large volumes of data. Since the work often involves repetitive tasks and adhering to detailed guidelines, it can be easy to overlook small errors or become fatigued. To overcome this, it's helpful to take regular breaks, stay organized, and continually review the provided instructions. Collaborating with team leads or peers to clarify uncertainties can also improve performance and ensure high-quality results.

What is an entry level AI data rater?

An Entry Level AI Data Rater is a professional who evaluates, labels, and rates data—such as text, images, or search results—to help improve artificial intelligence systems. Their work ensures that AI models can better understand and process human language and behavior. This role typically involves following specific guidelines to assess the accuracy and relevance of data, providing valuable feedback that helps train machine learning algorithms. Entry level positions usually require attention to detail, basic computer skills, and the ability to follow instructions closely.
What are the most commonly searched types of Ai Data Rater jobs in New York? The most popular types of Ai Data Rater jobs in New York are:
What job categories do people searching Entry Level Ai Data Rater jobs in New York look for? The top searched job categories for Entry Level Ai Data Rater jobs in New York are:
What cities in New York are hiring for Entry Level Ai Data Rater jobs? Cities in New York with the most Entry Level Ai Data Rater job openings:
Infographic showing various Entry Level Ai Data Rater job openings in New York as of August 2026, with employment types broken down into 68% Full Time, 24% Part Time, and 8% Contract. Highlights an 88% In-person, 2% Hybrid, and 10% Remote job distribution.

Forward Deployed Engineer, Handshake AI Enterprise

Handshake

New York, NY • On-site

$155K - $300K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 5 days ago


Job description

About Handshake

Handshake was founded on a simple belief that everyone deserves a path to a great career, regardless of where they went to school or who they know. Today, we power 25 million job seekers, 1 million+ employers, and 1,600 educational institutions.

In 2025, we started Handshake AI and built the fastest-growing AI data business in history. We work directly with frontier AI lab researchers to create evaluations, publish benchmarks, and push the boundary of data. We’ve grown from $0 to ~$1B run rate and pay ~$60M to over 30K individuals every month.

Why join Handshake now:

  • Shape how every career evolves in the AI economy, at global scale, with impact your friends, family and peers can see and feel

  • Partner hand-in-hand with world-class AI labs, Fortune 500 partners and the world’s top educational institutions

  • Work together with engineers, scientists, operators, and more from Palantir, Meta, Scale AI, and former YC founders

  • Build a massive, fast-growing business with billions in revenue

About Handshake AI

Human data is the core infrastructure to AI advancement. Frontier AI labs currently improve model capabilities with various data-intensive post-training techniques. We believe that data spend for AI training will increase by 3-5x in the next few years and continue for much longer as models take on new domains. Handshake AI supports all of the frontier AI labs, working on

About the Role

As a Forward Deployed Engineer at Handshake AI Enterprise, you'll embed directly inside enterprise customer environments as part of a small, expert team. You'll learn each customer's business deeply — their workflows, their bottlenecks, where the real leverage is — and translate that understanding into production-grade AI agents that measurably change how they operate.

This isn't an implementation or consulting role. You'll own the full stack: defining the solution, building and deploying agents, designing evals, and iterating until performance actually moves. Over time, you'll become a genuine domain expert in your customer's vertical — and use that expertise to build AI that keeps getting better.

We're looking for engineers across a range of experience — from those who've already shipped real AI in production, to seasoned engineers ready to set the technical bar for the team. If you've built AI that works in the real world and want to do it again at much higher stakes — with better data, closer lab relationships, and a founding team that moves fast — this is the role.

  • Embed directly with enterprise customers as part of a small deployment team, developing deep understanding of their business and workflows

  • Define AI-driven solutions based on real business needs — not theoretical use cases

  • Build and deploy production-grade agents tailored to specific customer use cases, owning end-to-end delivery

  • Design and run evals to measure agent performance; iterate and hill-climb until results move

  • Become a domain expert in your customer's vertical and use that expertise to build better AI over time

  • Work closely with Product and Platform engineers on your team to ship cohesive, reliable solutions

  • Establish engineering best practices, agent patterns, and reusable frameworks that help the forward-deployed team scale output without sacrificing quality

  • Surface insights from deployments that inform Handshake's platform and product roadmap

Location: San Francisco, CA | 5 days / week in-office

 
Desired Capabilities
  • Full-stack engineering experience with strong backend depth

  • Real-world experience building and shipping AI applications in production — not just fine-tuning or prototyping

  • Strong understanding of agent architectures, evals, and how to measure and systematically improve AI performance

  • Comfort working directly with enterprise customers in ambiguous, high-stakes environments

  • Strong systems thinking — you can zoom out to the business problem and zoom in to the technical solution without losing either thread

  • High ownership mentality — you care about outcomes, not just outputs

  • Strong communication skills — you'll be in the room with senior stakeholders regularly and need to earn their trust quickly

Extra Credit
  • Background at a company with a forward deployment or field engineering model

  • Experience building multi-agent systems in production

  • Domain expertise in a specific enterprise vertical (recruiting, finance, ops, legal, etc.)

  • Familiarity with enterprise security requirements, VPC deployments, or on-prem configurations

  • History of building evals infrastructure or AI quality measurement tooling

Perks

Handshake delivers benefits that help you feel supported—and thrive at work and in life.

The below benefits are for full-time US employees.

🎯 Ownership: Equity in a fast-growing company

💰 Financial Wellness: 401(k) match, competitive compensation, financial coaching

🍼 Family Support: Paid parental leave, fertility benefits, parental coaching

💝 Wellbeing: Medical, dental, and vision, mental health support, $500 wellness stipend

📚 Growth: $2,000 learning stipend, ongoing development

💻 Remote & Office: Internet, commuting, and free lunch/gym in our SF office

🏝 Time Off: Flexible PTO, 15 holidays + 2 flex days

🤝 Connection: Team outings & referral bonuses

Explore our mission, values, and comprehensive US benefits at joinhandshake.com/careers.

Compensation Range: $155K - $300K