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Remote Ai Data Collection Jobs (NOW HIRING)

AI Data Lead

$180K - $220K/yr

This remote AI Data Lead role will enable you to join A forward-thinking engineering culture that embraces AI tools as practical productivity accelerators and innovation enablers. What You'll Do

Remote AI Data Architect - Public Sector Location: Preferably Colorado Duration: 6 months We are seeking a forward-thinking AI Data Architect to lead data-driven initiatives in the public sector.

GDCC is one of the largest global data collection companies for Market Research. We're currently ... Jabra or Logitech ) What We Offer: * 100% Remote , work-from-home position * Part-time hours with ...

GDCC is one of the largest global data collection companies for Market Research. We're currently ... Jabra or Logitech ) What We Offer: * 100% Remote , work-from-home position * Part-time hours with ...

GDCC is one of the largest global data collection companies for Market Research. We're currently ... Jabra or Logitech ) What We Offer: * 100% Remote , work-from-home position * Part-time hours with ...

GDCC is one of the largest global data collection companies for Market Research. We're currently ... Jabra or Logitech ) What We Offer: * 100% Remote , work-from-home position * Part-time hours with ...

GDCC is one of the largest global data collection companies for Market Research. We're currently ... Jabra or Logitech ) What We Offer: * 100% Remote , work-from-home position * Part-time hours with ...

GDCC is one of the largest global data collection companies for Market Research. We're currently ... Jabra or Logitech ) What We Offer: * 100% Remote , work-from-home position * Part-time hours with ...

GDCC is one of the largest global data collection companies for Market Research. We're currently ... Jabra or Logitech ) What We Offer: * 100% Remote , work-from-home position * Part-time hours with ...

GDCC is one of the largest global data collection companies for Market Research. We're currently ... Jabra or Logitech ) What We Offer: * 100% Remote , work-from-home position * Part-time hours with ...

GDCC is one of the largest global data collection companies for Market Research. We're currently ... Jabra or Logitech ) What We Offer: * 100% Remote , work-from-home position * Part-time hours with ...

GDCC is one of the largest global data collection companies for Market Research. We're currently ... Jabra or Logitech ) What We Offer: * 100% Remote , work-from-home position * Part-time hours with ...

AI Data Engineer

$170K - $180K/yr

S (Remote) | Full-Time Deeprec.ai is partnering up with an AI focused HealthTech company centred around early-stage cancer detection. This is a remote Data Engineering role focused on building and ...

Remote -Boston, MA, Chicago, IL, JERSEY CITY, NJ, New York, NY If this resonates with you, we ... Using AI capabilities, we analyze your application for relevant skills, experiences, and ...

Remote -Boston, MA, Chicago, IL, JERSEY CITY, NJ, New York, NY If this resonates with you, we ... Using AI capabilities, we analyze your application for relevant skills, experiences, and ...

Remote -Boston, MA, Chicago, IL, JERSEY CITY, NJ, New York, NY If this resonates with you, we ... Using AI capabilities, we analyze your application for relevant skills, experiences, and ...

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Remote Ai Data Collection information

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$31

How much do remote ai data collection jobs pay per hour?

As of Jun 8, 2026, the average hourly pay for remote ai data collection in the United States is $25.31, according to ZipRecruiter salary data. Most workers in this role earn between $23.32 and $25.96 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote AI Data Collection Specialist, and why are they important?

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 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 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 some common challenges faced 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.
More about Remote Ai Data Collection jobs
What cities are hiring for Remote Ai Data Collection jobs? Cities with the most Remote Ai Data Collection job openings:
What are the most commonly searched types of Ai Data Collection jobs? The most popular types of Ai Data Collection jobs are:
What states have the most Remote Ai Data Collection jobs? States with the most job openings for Remote Ai Data Collection jobs include:
Infographic showing various Remote Ai Data Collection job openings in the United States as of May 2026, with employment types broken down into 2% Internship, 70% Full Time, 14% Part Time, and 14% Contract. Highlights an 100% Remote job distribution, with an average salary of $52,640 per year, or $25.3 per hour.

$180K - $220K/yr

Full-time

Posted 25 days ago


Job description

AI Data Lead
$180,000 - $200,000 | New York (Remote) | Full-Time
Deeprec.ai is proud to announce our partnership with a leading AI Compliance company. They use a modern tech stack to help companies stay on track with laws and regulations worldwide. This remote AI Data Lead role will enable you to join A forward-thinking engineering culture that embraces AI tools as practical productivity accelerators and innovation enablers.
What You'll Do
  • Own the end-to-end Client & AI Data Vault, from ingestion to AI retrieval.
  • Build and scale vector databases and RAG infrastructure in production.
  • Prototype chunking and embedding strategies using real client data and AI coding tools.
  • Develop parsers for complex documents including PDFs, DOCX, spreadsheets, and scans.
  • Design data models connecting client content to regulatory concepts and gap analysis.
  • Maintain high standards for data quality, performance, testing, and engineering practices.

Requirements
  • Production experience with vector databases (e.g. Qdrant, Pinecone, Weaviate, pgvector), including tuning for performance and recall
  • Experience building chunking and embedding pipelines for complex documents
  • Strong SQL and data modelling skills in production systems
  • Experience extracting data from PDFs, DOCX, and scanned documents (incl. OCR/layout-aware parsing)
  • Strong Python plus at least one systems-level language
  • Experience with Azure (preferred) or AWS/GCP, CI/CD, and containers
  • Hands-on experience with RAG or hybrid retrieval systems
  • Effective use of AI coding assistants in development workflows
  • Proven track record of shipping production AI or data systems
What will make you great
  • Experience with multi-tenant data architectures and isolation patterns
  • Experience with Elasticsearch, OpenSearch, or similar search engines
  • Background in NLP, information extraction, or document understanding
  • Experience with Kafka or similar messaging systems
  • Experience in regulated industries with strict audit and versioning requirements
  • Contributions to open-source retrieval, embedding, or parsing tools

What You'll Get?
  • Join a small, high-impact AI team where the data layer is a core product enabler, not backend plumbing
  • Direct access to leadership with fast feedback loops and real influence on architecture
  • AI-first culture that treats tools as productivity multipliers
  • Competitive compensation, benefits, and flexible working
  • Opportunity to build the core data foundation of a fast-scaling compliance intelligence platform