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Human Intelligence Task Jobs in New York (NOW HIRING)

Technology 2027 Spring Co-Op

Raritan, NJ · On-site

$15.25 - $19.75/hr

Artificial intelligence (AI) : Create systems and solutions that can perform tasks that normally require human intelligence. These tasks include learning from data, reasoning, problemsolving ...

Technology 2027 Spring Co-Op

New Brunswick, NJ

$15.50 - $19.75/hr

Artificial intelligence (AI) : Create systems and solutions that can perform tasks that normally require human intelligence. These tasks include learning from data, reasoning, problemsolving ...

... with human intelligence, we help our customers solve complex multi-cloud problems and drive ... You are the kind of person who is averse to doing the same manual task twice and instinctively ...

Senior HR Generalist

New York, NY · On-site

$85K - $110K/yr

... intelligence, data science, and quantitative research with rigorous human inquiry to capitalize on ... all tasks and inquiries are handled accurately * Provide real-time solutions to employees and ...

About Mercor Mercor's mission is to organize human intelligence to power the AI economy. We're a ... You'd rather build a system than do the same task twice. * You're motivated by the chance to shape ...

About Mercor Mercor's mission is to organize human intelligence to power the AI economy. We're a ... You'd rather build a system than do the same task twice. * You're motivated by the chance to shape ...

Artificial intelligence (AI): Create systems and solutions that can perform tasks that normally require human intelligence. These tasks include learning from data, reasoning, problemsolving ...

HR Business Partner

New York, NY · On-site

$145K - $195K/yr

You are comfortable jumping from a high-level talent discussion to a practical day-to-day HR task ... intelligence. The annual base salary range for this role is $145,000 - $195,000; to learn more ...

HR Business Partner

New York, NY · On-site

$145K - $195K/yr

You are comfortable jumping from a high-level talent discussion to a practical day-to-day HR task ... intelligence. The annual base salary range for this role is $145,000 - $195,000; to learn more ...

Showing results 21-40

Human Intelligence Task information

What is a human intelligence task?

Human Intelligence Tasks, commonly referred to as HITs, are small, discrete jobs or assignments that require human judgment and intelligence to complete. These tasks are often posted on platforms like Amazon Mechanical Turk and can include things like identifying objects in images, transcribing audio recordings, categorizing content, or answering surveys. HITs are designed to be tasks that computers or automated systems cannot perform accurately, so they rely on human workers to provide the necessary insight and decision-making. Workers are usually paid a small amount for each completed HIT, and they can choose which tasks to accept based on their interests and qualifications.

What skills and qualifications are needed to thrive as a human intelligence task worker?

To thrive as a Human Intelligence Task worker, you need strong attention to detail, critical thinking, and the ability to follow complex instructions, often without formal qualifications required. Familiarity with web-based platforms like Amazon Mechanical Turk or Appen, and sometimes understanding of basic data annotation tools, is beneficial. Reliability, time management, and clear written communication are standout soft skills in this role. These skills ensure high-quality, accurate task completion, which is crucial for supporting data-driven projects and research.

What are common challenges faced by individuals working on human intelligence tasks and how can they be managed?

Professionals completing Human Intelligence Tasks, such as those on platforms like Amazon Mechanical Turk, often face challenges including repetitive work, unclear task instructions, and variable compensation. To manage these, it's important to carefully review instructions before starting each HIT, use community forums to share experiences and clarify ambiguities, and select tasks from reputable requesters known for fair payment and clear expectations. Maintaining focus through regular breaks and organizing your workflow can also help mitigate fatigue and improve overall efficiency.

What is the difference between Human Intelligence Task vs Data Annotation Specialist?

AspectHuman Intelligence TaskData Annotation Specialist
Required CredentialsBasic computer skills, no formal certification neededKnowledge of annotation tools, sometimes certifications in data labeling
Work EnvironmentOnline platforms, remote workRemote or in-office, often using specialized software
Employer & Industry UsageTech companies, crowdsourcing platformsAI and machine learning companies, data labeling firms
Search & Comparison IntentUnderstanding task-based work, gig economySpecialized data labeling roles, AI training

Human Intelligence Tasks (HITs) are small, simple tasks performed online, often by crowdsourced workers. Data Annotation Specialists focus on labeling data for AI training, requiring specific tools and sometimes certifications. While both roles involve online work and contribute to AI development, HITs are more general micro-tasks, whereas Data Annotation Specialists perform specialized, detailed data labeling.

What are popular job titles related to Human Intelligence Task jobs in New York?

For Human Intelligence Task jobs in New York, the most frequently searched job titles are:

What job categories do people searching Human Intelligence Task jobs in New York look for?

The top searched job categories for Human Intelligence Task jobs in New York are:

What cities in New York are hiring for Human Intelligence Task jobs?

Cities in New York with the most Human Intelligence Task job openings:

Infographic showing various Human Intelligence Task job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 17% Part Time, and 3% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution.

Member of Technical Staff, Deeptune Environments

New York, NY • On-site

$220K - $600K/yr

Full-time

Re-posted 4 days ago


Job description

About Mercor
Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You'll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
About Deeptune
Deeptune Environments is a Mercor team building the platform and tooling that AI labs use to train agents through reinforcement learning. We build the systems that let researchers turn real-world tasks into training environments at scale.
About the Role
You'll build the systems our high-fidelity simulation environments run on, the APIs and tool interfaces agents interact with, the grading layer that decides whether an agent actually succeeded, the pipelines that turn raw human demonstrations into training-ready environments, and the orchestration and sandboxing that run it all at scale.
You'll do this alongside researchers who own the RL side. Your job is to make their ideas real: fast, correct, and reliable at scale. That means you should know enough about post-training, evals, and reward modeling to push back on a research spec productively. It does not mean you'll be training models.
The work is high-ownership and lightly specified. You'll set direction, drive outcomes, and stay hands-on. You'll also work directly with AI labs and enterprise partners, which means shipping against real external deadlines rather than internal ones.
What You'll Do
  • Build the systems that build environments end-to-end: the simulated app or system, the agent-facing tool surface, the task definitions, and the verifiers that score them.
  • Design and operate the backend infrastructure that runs environments at scale (containers, orchestration, queues, observability) - standard distributed-systems backend work, applied to a new domain.
  • Turn messy human data into clean, reproducible training environments.
  • Care about reliability and speed as much as correctness.
  • Own the interface with labs and researchers: translate a research goal into a system that exists next week.

What We're Looking For
We care more about what you've built than how long you've been building it.
  • 2+ years of full-stack / backend engineering, including at least 1 year at a startup, ideally as a founding engineer, an early engineer at a fast-growing venture, or a founder yourself
  • Strong generalist with systems depth. We primarily use Python and seek engineers who are fluent in at least one language. Ideally, they should be skilled at applying agents with discernment and able to quickly adapt to different problem requirements.
  • Comfortable around ML/LLM concepts. Not an ML background, but enough working knowledge of post-training, evals, and reward modeling to partner with researchers and translate their specs into systems.
  • Thrives in ambiguity. You scope your own work, make pragmatic calls, and ship without a spec handed to you.
  • Ability to raise the bar around you. Coaching engineers and driving execution, while staying in the code

Bonus, not required: sandboxing or virtualization, browser and computer-use automation, CI/build systems, developer tooling.
You'll Fit Here If
  • Ownership, impact, and building frontier tech are what motivate you
  • Your work is a craft you want to master
  • You thrive in ambiguity and like hard problems
  • You appreciate diverse perspectives and uncommon ideas
  • You're excited to build in person, 5 days a week, 10 am-8 pm ET, from our office at One World Trade