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Flexible Ai Data Collection Jobs (NOW HIRING)

Welo Data

Data Collection Operator

Santa Clara, CA

$38.50/hr

In this role, you'll operate physical AI data collection systems (via teleoperation tools or guided interfaces) to generate high-quality real-world data used to train and evaluate AI models. This is ...

New

Hark

Data Collection

San Jose, CA · On-site

$150K - $250K/yr

While today's AI largely operates through chat boxes and decade-old devices, Hark is focused on ... About the Role You'll own data collection at Hark - the programs, the vendors, and the pipelines ...

Hark

Data Collection

San Jose, CA

$150K - $250K/yr

While today's AI largely operates through chat boxes and decade-old devices, Hark is focused on ... About the Role You'll own data collection at Hark - the programs, the vendors, and the pipelines ...

HumanSignal

$14.30/hr

... flexible, and impactful? We're looking for curious, detail-oriented individuals to join us as AI ... Never complete data collection in a way that would risk injury to you or others. Important: This ...

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Flexible Ai Data Collection information

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

As of Sep 4, 2026, the average hourly pay for flexible 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 is flexible AI data collection?

Flexible AI Data Collection refers to gathering and preparing various types of data—including text, images, audio, or video—for use in training artificial intelligence (AI) systems. These roles often involve tasks like labeling data, transcribing audio, or categorizing images. The 'flexible' aspect means that work schedules and project types can vary, allowing contributors to choose tasks that fit their availability. Such positions are essential for improving AI accuracy and are typically offered remotely by tech companies or data annotation platforms.

What are the key skills and qualifications needed to thrive as a flexible AI data collection specialist?

To thrive as a Flexible AI Data Collection Specialist, you need strong analytical abilities, attention to detail, and familiarity with data management, often supported by a background in computer science or related fields. Proficiency with data annotation tools, spreadsheet software, and sometimes knowledge of programming languages like Python is typically required. Excellent communication, adaptability, and time management are standout soft skills in this role. These capabilities are crucial for ensuring accurate, high-quality datasets that power effective AI model development.

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

In a Flexible AI Data Collection position, one of the main challenges is ensuring data quality and consistency while working independently or on varying schedules. Since tasks often involve labeling or collecting data from diverse sources, attention to detail and following precise guidelines are crucial. Communication with project managers or team leads is important when clarifications are needed, and staying organized helps manage multiple tasks efficiently. Regular feedback sessions and utilizing available support resources can help address challenges quickly and maintain high standards.

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

AspectFlexible Ai Data CollectionData Annotator
CredentialsBasic technical skills, familiarity with data collection toolsAttention to detail, understanding of annotation guidelines
Work EnvironmentRemote or on-site, often involves fieldwork or online platformsPrimarily remote, working with annotation software
Industry UsageAI, machine learning, data servicesAI, machine learning, data labeling
Common TasksGathering and organizing data from various sourcesLabeling and annotating data for model training

Flexible Ai Data Collection involves gathering raw data from multiple sources, focusing on data acquisition. In contrast, Data Annotator specializes in labeling and preparing data for AI models. Both roles are essential in AI development but differ in their core responsibilities and skill requirements.

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Flexible Ai Data Collection jobs near you
Infographic showing various Flexible Ai Data Collection job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 67% Full Time, 29% Part Time, and 3% Contract. Highlights an 88% Physical, 1% Hybrid, and 11% Remote job distribution, with an average salary of $52,640 per year, or $25.3 per hour.

Data Collection Operator

Welo Data

Santa Clara, CA

$38.50/hr

Full-time

Posted 2 days ago

New

Job description

Role Overview

We’re hiring data collection operators to support physical AI programs. In this role, you’ll operate physical AI data collection systems (via teleoperation tools or guided interfaces) to generate high-quality real-world data used to train and evaluate AI models.

This is hands-on, execution-focused work. You’ll be working with real hardware in structured environments, following defined scenarios, and helping produce the data that directly shapes how physical AI devices learn and perform.

Project Details

  • Location: 100% Onsite (Santa Clara, CA)
  • Employment: Full time W-2, 5 days/week
  • Morning Shift: 7:00 AM to 3:30 PM | $35/hour
  • Night Shift: 3:30 PM to 12:00 AM | $38.50/hour
  • Physical Commitment: Must be able to stand for several hours and carry up to 75 lbs.
  • Start Date: ASAP

Why This Role Matters

The data generated in this role directly impacts how physical AI systems learn to operate in the real world. Strong execution here leads to better, safer, and more reliable autonomous systems.

What You’ll Do

  • Operate physical AI data devices
  • Execute structured tasks (e.g., navigation, pick/place, object interaction) across different environments
  • Follow detailed instructions and adapt to evolving guidelines
  • Capture and validate data (video, sensor inputs, task logs) during operation
  • Identify and flag edge cases, failures, or unexpected system behavior
  • Maintain consistency and accuracy across repeated task runs
  • Partner with onsite teams (engineering, QA, program leads) to improve workflows
  • Support fast iteration cycles as tasks, tools, and priorities evolve 

Basic Qualifications

  • Bachelor’s degree or equivalent work experience 
  • Experience with gaming, simulation tools, or technical systems is a plus
  • Strong hand-eye coordination and spatial awareness
  • Comfortable using controllers, keyboards, or specialized interfaces for extended periods
  • Basic computer skills, including PC and Linux troubleshooting.
  • Working knowledge of MS Office and Google Drive
  • Ability to follow detailed procedures with high accuracy
  • Clear written and verbal communication skills 

Preferred Qualifications

  • Exposure to robotics, autonomous systems, drones, or simulation environments
  • Experience with teleoperation, remote control systems, or QA/testing workflows
  • Familiarity with data collection, logging, or annotation processes
  • Ability to quickly learn new software applications
  • Interest in AI, robotics, or emerging technologies
  • Experience working in structured, metrics-driven environments

Work Environment & Physical Requirements

  • Onsite lab environment (robotics lab, warehouse, or simulated real-world setup)
  • Must be able to stand for extended periods during shifts
  • Must be able to occasionally lift and/or move up to 75lbs
  • Repetitive task execution with a focus on consistency and quality
  • Fast-paced environment with frequent updates to tasks and workflows

Working at Welo Data

What to expect from working at Welo Data

From Welo Data

About Welo Data, in their own words

From Welo Data

Welo Data is a global AI data services company powering the next generation of AI. We build, annotate, and validate the training datasets that make AI models accurate, safe, and ready for the real world — across languages, cultures, and domains.

Our team of experts spans the globe, combining deep technical knowledge with a human-centered approach. If you want your work to shape how AI understands the world, you'll find your place here.

Diversity and inclusion statement

From Welo Data

Our Strength is derived from Winning Together. Welo Data is unequivocally committed to developing and fostering a workplace and organizational culture that values the diversity of thought and perspective delivered by a diverse global workforce operating within an inclusive organization.