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Day Shift Ai Data Collection Jobs (NOW HIRING)

Welocalize

Data Collection Operator

Santa Clara, CA · On-site

$38.50/hr

Employment: Full time W-2, 5 days/week * Morning Shift: 7:00 AM to 3:30 PM | $35/hour * Night Shift ... Operate physical AI data devices * Execute structured tasks (e.g., navigation, pick/place, object ...

Welo Data

Data Collection Operator

Santa Clara, CA

$38.50/hr

Employment: Full time W-2, 5 days/week * Morning Shift: 7:00 AM to 3:30 PM | $35/hour * Night Shift ... Operate physical AI data devices * Execute structured tasks (e.g., navigation, pick/place, object ...

micro1 AI

AI Data Collection Specialist - Remote

Lynn, MA · Remote

$13 - $15/hr

Data-Video Generalist Job Type: Contractor Location: Remote - based in Alabama, Alaska, Arkansas ... Complete a device compatibility check and an AI-enabled interview during onboarding. Required ...

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How much do day shift ai data collection jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for day shift 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 a day shift AI data collection specialist?

A Day Shift AI Data Collection job typically involves gathering, organizing, and labeling data during regular daytime hours to help train and improve artificial intelligence systems. Workers in this role may be required to collect data from various sources, verify its accuracy, and ensure it is properly formatted for use by AI models. This job is important because high-quality data is essential for developing reliable and effective AI applications. The tasks may include image tagging, audio transcription, or collecting text data, depending on the specific project requirements.

What does a day shift AI data collection specialist do?

In a Day Shift AI Data Collection role, your day typically involves gathering, labeling, and organizing various types of data—often images, text, or audio—that will be used to train AI models. You'll work closely with data engineers and machine learning teams to ensure the data is accurate, high-quality, and collected according to project specifications. Collaboration with team members is common, especially when troubleshooting data inconsistencies or meeting tight project deadlines. Attention to detail and the ability to follow protocols are crucial, as your work directly impacts the performance of AI systems.

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

To excel as a Day Shift AI Data Collection Specialist, you need strong attention to detail, basic data analysis skills, and familiarity with data collection protocols, often supported by a high school diploma or relevant experience. Proficiency with data entry software, spreadsheet tools like Microsoft Excel or Google Sheets, and sometimes specialized data annotation platforms is typically required. Reliability, time management, and effective communication are essential soft skills for maintaining data quality and collaborating with team members. These skills ensure accurate, efficient data gathering which is critical for developing robust AI models and supporting organizational goals.

What is the difference between Day Shift Ai Data Collection vs Data Labeling Specialist?

AspectDay Shift Ai Data CollectionData Labeling Specialist
CredentialsHigh school diploma or equivalent; basic computer skillsHigh school diploma or equivalent; attention to detail
Work EnvironmentOffice or remote; daytime hoursOffice or remote; daytime hours
Industry UsageAI training data collection for machine learningAnnotating and labeling data for AI models
Job FocusGathering raw data through various methodsAdding labels and annotations to datasets

Day Shift Ai Data Collection involves gathering raw data for AI training, while Data Labeling Specialists focus on annotating that data. Both roles often work in similar environments and require comparable skills, but their core tasks differ in data handling stages.

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Day Shift Ai Data Collection jobs near you
Infographic showing various Day Shift 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, 27% Part Time, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $52,640 per year, or $25.3 per hour.

Data Collection Operator

Welocalize

Santa Clara, CA • On-site

$38.50/hr

Other

Posted 5 days ago

Welocalize rating

6.5

Company rating: 6.5 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

340th of 500 rated business services

Job description

About the job Data Collection Operator
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

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