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Human Intelligence Task Jobs in California (NOW HIRING)

Nvidia

Senior Methodology Software Engineer

Santa Clara, CA · On-site

$143K - $189K/yr

Join us in our exciting journey to transform computing and enhance human intelligence. Working in ... Designing robust user interfaces to simplify sophisticated hardware tasks * Building data ...

Prescient Edge

Program Manager

San Diego, CA · On-site

$141K - $204K/yr

... task order: Project Management Institute (PMI) Project Management Professional or PMI Program ... and Human Intelligence (HUMINT) company in 2008. We are a global operations and solutions ...

Prescient Edge

IT Systems Integrator

Port Hueneme, CA · On-site

$150K - $210K/yr

Anticipate 100% Level of Effort on-site in CA for first 6 months of this task, then 50-75 ... and Human Intelligence (HUMINT) company in 2008. We are a global operations and solutions ...

Prime Electric

Human Resources Generalist

San Jose, CA · On-site

$38 - $48/hr

Under direct supervision, performs a variety of routine and non-routine tasks, projects and ... Candidate Privacy Policy We may use artificial intelligence (AI) tools to support parts of the ...

Prime Electric

Human Resources Generalist

San Jose, CA · On-site

$38 - $48/hr

Under direct supervision, performs a variety of routine and non-routine tasks, projects and ... Candidate Privacy Policy We may use artificial intelligence (AI) tools to support parts of the ...

PCL Construction

$19.88 - $24.38/hr

Independent and resourceful in accomplishing day-to-day tasks and assignments * Demonstrated ... This recruitment process does not involve the use of artificial intelligence (AI) to screen, assess ...

Doen

Director of Human Resources

Los Angeles, CA · On-site +1

$150K - $160K/yr

... payroll tasks to process design and employee relations. This position will play a key role in ... intellectual curiosity; brings insight into the team and business. • Self-directed with a high ...

Xsolla

Human Resources Intern

Los Angeles, CA · On-site

$18 - $20/hr

Ability to manage multiple tasks or projects simultaneously * Proactive thinker who takes ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

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Human Intelligence Task information

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 the key skills and qualifications needed to thrive as a Human Intelligence Task worker, and why are they important?

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 Human Intelligence Tasks (HITs)?

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 are some common challenges faced by individuals working on Human Intelligence Tasks (HITs) 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 are popular job titles related to Human Intelligence Task jobs in California? For Human Intelligence Task jobs in California, the most frequently searched job titles are:
What job categories do people searching Human Intelligence Task jobs in California look for? The top searched job categories for Human Intelligence Task jobs in California are:
What cities in California are hiring for Human Intelligence Task jobs? Cities in California with the most Human Intelligence Task job openings:
Human Intelligence Task jobs near you
Infographic showing various Human Intelligence Task job openings in California as of May 2026, with employment types broken down into 92% Full Time, 6% Part Time, 1% Temporary, and 1% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution.
Senior Deep Learning and Computer Vision Engineer - Autonomous Vehicles

Senior Deep Learning and Computer Vision Engineer - Autonomous Vehicles

Nvidia

Santa Clara, CA • On-site

Full-time

Posted 9 days ago

Job description

We are looking for a Deep Learning and Computer Vision engineer for our Autonomous Vehicles team. The role involves applying state-of-the-art techniques to build ground truth for autonomous vehicles, a critical aspect of our next-generation products. You will have the opportunity to work with top researchers and engineers in the field of deep learning and computer vision to deliver impact to our customers around the world. Intelligent machines powered by Artificial Intelligence computers that can learn, reason and interact with people are no longer a science fiction. Today, a self-driving car powered by AI can meander through a country road at night and find its way. An AI-powered robot can learn motor skills through trial and error. The era of AI has begun. NVIDIA's GPUs run Deep Learning algorithms, simulating human intelligence, and acts as the brain of computers, robots and self-driving cars that can perceive and understand the world. Just as human imagination and intelligence are linked, computer graphics and AI come together in our architecture. This may explain why.

NVIDIA GPUs are used broadly for Deep Learning, and NVIDIA is increasingly known as "the AI company". Make your choice to join us today. We are training Deep Neural Networks for NVIDIA's Autonomous Vehicles effort, with the goal to enable autonomous driving. We are seeking Deep Learning/Machine Learning interns who are passionate about solving problems in perception, prediction, planning and control for self-driving cars to achieve full autonomy. Are you interested in inventing human level AI for navigation in the unconstrained world under any conditions? If so, join us!

What you'll be doing:

  • Stay up to date with the latest research and innovations in deep learning, implement and experiment with new ideas.

  • Foster collaborative partnerships with our researchers and engineers, transforming innovative research into robust, industrial-strength machine learning models.

  • Taking approaches from initial evaluation and experimentation all the way to shipping.

  • Defining and collecting training datasets.

  • Building training pipelines and real-time inference run-times (PyTorch, TensorFlow, TensorRT, Python, C++).

What we need to see:

  • PhD with 1+ year, or MS (or equivalent experience) with 5+ years, of relevant experiencein Computer Science, ComputerEngineering, or a related technical field.

  • Proven experience building robust software.

  • Passionate about Artificial Intelligence for robotics and autonomous navigation

  • Strive to learn new things and like solving hard problems

  • Math knowledge

  • Experience in Deep Learning / Machine Learning. You have a background in Computer vision and/or Planning/Control.

  • Programming and debugging skills in C++ and/or Python.

  • Good communication and analytical skills. Ability to work with multiple teams in a dynamic environment.

Ways to stand out from the crowd:

  • Background in applying latest AI methods to solve Computer Vision and Autonomous Vehicles problems

  • Experience with Unsupervised or Self-supervised Learning

  • Involvement with architecture optimization, pruning, curriculum & multi-task training

  • Experience fusing data from different sensor modalities (e.g. Images and LIDAR data) to enable information conflation, label propagation, cross training.

We believe that realizing self-driving cars will be a defining contribution of our generation. We have the funding and scale, but we need your help. NVIDIA offers highly competitive salaries and a comprehensive benefits package. We have some of the most brilliant and talented people in the world working for us and, due to unprecedented growth, our world-class engineering teams are growing fast. If you're a creative and autonomous engineer with real passion for technology, we want to hear from you.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until June 12, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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