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Remote Ai Data Collection Jobs in New York (NOW HIRING)

Job Title: AI Consulting Domain Remote Job Type: Contractor (Part-Time) Location: Remote Job ... Annotate data, interpret findings, and perform fact-checking to ensure high-quality content.

No prior AI experience is required--your Korean language expertise and linguistic judgment are what ... Collaborate with project participants to improve data collection, evaluation, and annotation ...

Remote Role Summary We are seeking a strong Product Owner to work with engineering, data, and ... Experience with AI, data, developer tools, or technology products is highly relevant. What You'll ...

Provide expert-level feedback, data, or training in your field (STEM, business, law, languages, etc ... Evaluate, refine, or create AI training content to boost model performance * Tackle intellectually ...

Remote Job Overview We are seeking experienced English Language Experts to support a high-impact AI ... Previous experience in AI data training, annotation, editorial QA, localization QA, or professional ...

Contractor Location: Remote About the Role We are looking for experienced data scientists and ... Evaluate AI outputs across data science, statistics, ML, and quantitative problems. * Create expert ...

New

Korean Language Expert

New York, NY · Remote

$65 - $100/hr

Remote Job Overview We are seeking experienced Korean Language Experts to contribute their ... Collaborate with project participants to improve data collection, evaluation, and annotation ...

Our field data collection teams are spread across Europe and North America, ready to accept new ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Our field data collection teams are spread across Europe and North America, ready to accept new ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Data Architect

New York, NY · On-site +1

$69.75 - $89.75/hr

Knowledge of data warehousing concepts and tools, big data technologies, machine learning and AI ... No * Current remote employees will not be guaranteed to keep their remote status with their ...

Showing results 21-40

Remote Ai Data Collection information

What is remote AI data collection?

Remote AI data collection refers to the process of gathering and labeling data—such as images, audio, text, or video—from various sources using digital tools, often from a remote location. This data is used to train and improve artificial intelligence and machine learning models. People working in this field can perform tasks like annotating images, transcribing audio, or categorizing text, all from their home or another remote setting. The work is essential for creating accurate AI systems and often offers flexible hours. It usually requires basic computer skills and attention to detail.

What skills and qualifications are needed for a remote AI data collection specialist?

To thrive as a Remote AI Data Collection Specialist, you need attention to detail, data management skills, and a basic understanding of machine learning concepts, often supported by a degree in computer science or related fields. Familiarity with data annotation tools, spreadsheets, and platforms like Labelbox or Amazon SageMaker is commonly required. Strong communication, time management, and problem-solving skills are important for collaborating remotely and meeting project deadlines. These abilities ensure accurate, efficient data gathering and annotation, which are critical for the quality and reliability of AI model development.

What are common challenges in a remote AI data collection role, and how can they be managed?

A common challenge in Remote AI Data Collection roles is ensuring data quality and consistency, especially when working independently without direct supervision. It is important to follow detailed guidelines precisely and communicate proactively with project managers or team leads whenever uncertainties arise. Time management and maintaining motivation can also be challenging when working remotely, so setting a structured schedule and leveraging collaboration tools can help. Regular check-ins with the team and staying updated with project requirements are key to overcoming these challenges and delivering reliable results.

What is the difference between Remote Ai Data Collection vs Remote Data Annotator?

AspectRemote Ai Data CollectionRemote Data Annotator
Required CredentialsBasic computer skills, training in data collection toolsAttention to detail, familiarity with annotation software
Work EnvironmentRemote, flexible hours, often on mobile or desktopRemote, flexible hours, often on desktop or specialized platforms
Industry UsageAI training data gathering across various sectorsLabeling and annotating data for machine learning models
Common Search IntentJobs involving data collection for AIJobs focused on data labeling and annotation

Remote Ai Data Collection involves gathering raw data for AI training, often requiring basic technical skills. Remote Data Annotator focuses on labeling and annotating data to improve machine learning models. Both roles are remote, but they differ in tasks and skill requirements, serving different stages of AI data preparation.

What are the most commonly searched types of Ai Data Collection jobs in New York?

The most popular types of Ai Data Collection jobs in New York are:

What are popular job titles related to Remote Ai Data Collection jobs in New York?

For Remote Ai Data Collection jobs in New York, the most frequently searched job titles are:

What job categories do people searching Remote Ai Data Collection jobs in New York look for?

The top searched job categories for Remote Ai Data Collection jobs in New York are:

What cities in New York are hiring for Remote Ai Data Collection jobs?

Cities in New York with the most Remote Ai Data Collection job openings:

Infographic showing various Remote Ai Data Collection job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Curriculum Manager - Data Science and AI

DataCamp

New York, NY • On-site, Remote

Full-time

Medical, Dental, Vision

Re-posted 13 days ago


Job description

About DataCamp

Data and AI skills are critical for thriving today, and DataCamp is the platform that empowers everyone to learn them. We help individuals and Fortune 1000 companies close the data and AI skills gap through world-class learning, hands-on training, and a global community of expert instructors.

In this role, you'll collaborate with instructors and teams across curriculum, engineering, product, and marketing to expand and improve our Data Science and Data Engineering curriculum—helping millions worldwide upskill in data and AI.

About the role

This is an individual contributor role. You will collaborate with subject matter experts and leverage in-house-built cutting-edge AI tooling to scale high-quality course creation. Here's what your day-to-day will look like: 

  • Manage the entire content development lifecycle and deadlines.
  • Source and recruit top-tier subject-matter experts as instructors. 
  • Collaborate with instructors to create engaging content. 
  • Consistently leverage a variety of off-the-shelf and in-house AI systems to drive high-quality content production. 
  • Design, review, and create content on data science and data engineering. You will review content from a learner perspective, ensuring it is technically accurate and pedagogically effective.
  • Continuously assess course performance using learner feedback and engagement data to drive improvements.
  • Identify and prioritize existing curriculum gaps or new topics in data science and data engineering.

Qualifications:

  • A solid technical background in Python and SQL. A technical background in data engineering is a plus. 
  • Strong expertise in instructional design, with proven experience designing, structuring, and teaching technical courses, and creating interactive, hands-on learning experiences.
  • Graduate degree (Master's or PhD) in Computer Science, AI, Data Science, or a related STEM field, or equivalent industry experience with hands-on expertise in data science, machine learning, or software development.
  • Strong experience with agentic AI systems such as Claude Code, Cursor, Replit. You can demonstrate you've increased your output 10x with AI.

Bonus if you have the following

  • A deep understanding of the DataCamp course format—you have an intuitive understanding of what makes a great DataCamp course.
  • An existing network of potential subject matter experts who can become DataCamp instructors.
  • An extensive track record of building sophisticated AI systems and workflows.

Why Datacamp? 

Joining DataCamp means becoming part of a dynamic, creative, and international start-up. Here are just a few of the reasons why you'll love being on our team:

  • Exciting Challenges – Tackle some of the most important educational challenges in Data & AI.
  • Work with the Best Instructors – Partner with top-tier instructors from leading organizations like Microsoft, Hugging Face, AWS, and more.
  • Competitive Compensation – We offer a competitive salary with attractive benefits.
  • Work Flexibility – Benefit from flexible working hours and a remote-friendly culture.
  • Professional Growth – Access to a yearly learning & development budget.
  • Global Culture – Join a team that values international collaboration.
  • Annual Retreats – Participate in international company retreats, fostering a global team spirit.
  • Tools & Setup – Receive an annual IT equipment budget to refresh your workspace.

Our competitive compensation package offers additional benefits. On top of your salary you will also receive extra legal benefits such as best-in-class medical insurance including dental and vision. Depending on your location additional benefits might be available to you.