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Overnight Ai Data Collection Jobs (NOW HIRING)

Gehc

Data Manager - AI Development

Waukesha, WI · On-site

Track data collection and annotation budget. 3. Annotation & Labeling Oversight * Coordinate data ... Support execution of AI data management practices including: * Data control planning * Data ...

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

(Netherlands BASED) AI Data Collector - Turn the World Into Your Workplace! Do you love scavenger ... Never complete data collection in a way that would risk injury to you or others. Important: This ...

Figure

Data Strategy Associate

San Jose, CA · On-site

$100K - $180K/yr

Report deployment progress and metrics to the AI Data Collection Manager Requirements: * 3-5 years in program management (especially for operations), consulting, investment banking, startup project ...

Figure

Data Strategy Associate

San Jose, CA

$100K - $180K/yr

Report deployment progress and metrics to the AI Data Collection Manager Requirements: * 3-5 years in program management (especially for operations), consulting, investment banking, startup project ...

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

As of May 31, 2026, the average hourly pay for overnight ai data collection in the United States is $25.33, according to ZipRecruiter salary data. Most workers in this role earn between $18.51 and $31.97 per hour, depending on experience, location, and employer.

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

To thrive as an Overnight AI Data Collection Specialist, you need strong attention to detail, data entry proficiency, and familiarity with data collection methodologies, often supported by a high school diploma or equivalent. Experience with data management tools, spreadsheets, and platforms such as SQL databases or Python scripts is commonly required. Reliability, time management, and effective communication are valuable soft skills for working independently during overnight shifts and ensuring data accuracy. These skills and qualities are essential to maintaining high data quality and supporting robust AI model development in a time-sensitive environment.

What are some common challenges faced by overnight AI data collection specialists, and how can they be managed?

Overnight AI data collection specialists often face challenges such as managing fatigue due to unconventional working hours and ensuring data accuracy during less supervised shifts. It’s important to establish a consistent sleep schedule and take regular breaks to maintain focus. Collaboration with daytime teams through detailed handover notes and communication tools helps ensure continuity and data integrity. Many organizations provide training and support to help manage these challenges and maintain high data quality.

What is an Overnight AI Data Collection job?

An Overnight AI Data Collection job involves gathering and organizing data during nighttime hours to support the development and training of artificial intelligence systems. Workers in this role may collect images, audio, text, or other types of data, ensuring accuracy and quality according to specific guidelines. The overnight schedule helps companies process large volumes of data continuously and meet tight deadlines. This role is important for improving the performance and reliability of AI models. It often requires attention to detail, basic computer skills, and the ability to work independently.

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

AspectOvernight Ai Data CollectionData Annotator
CredentialsHigh school diploma or equivalent; basic computer skillsHigh school diploma or equivalent; attention to detail
Work EnvironmentRemote or on-site, flexible hours, often overnight shiftsRemote or on-site, regular hours, focused on labeling data
Industry UsageUsed in AI training data collection, especially for image and video dataUsed in AI model training, labeling datasets for machine learning

Overnight Ai Data Collection involves gathering raw data for AI training, often during overnight hours, while Data Annotator focuses on labeling and annotating existing datasets. Both roles are essential in AI development, with overlapping skills but different primary tasks.

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What cities are hiring for Overnight Ai Data Collection jobs? Cities with the most Overnight Ai Data Collection job openings:
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Overnight Ai Data Collection jobs near you
Infographic showing various Overnight Ai Data Collection job openings in the United States as of May 2026, with employment types broken down into 5% Internship, 57% Full Time, and 38% Part Time. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $52,687 per year, or $25.3 per hour.
Data Manager - AI Development

Data Manager - AI Development

GE HealthCare

Waukesha, WI • On-site

Full-time

Posted 19 days ago

GE HealthCare rating

8.5

Company rating: 8.5 out of 10

Based on 130 frontline employees who took The Breakroom Quiz

61st of 415 rated machine equipment manufacturers

Job description

Job Description Summary
The Data Manager - AI Development is a key role within the AI Development team responsible for planning, coordinating, tracking, and governing data used to develop AI enabled medical device features. This role works closely with AI/ML engineers to define data needs for AI features, coordinates with internal and external data collection teams/clinical team, oversees annotation activities, and ensures data readiness, traceability, and compliance throughout the AI development lifecycle.
The role is execution focused and coordination driven, ensuring that the right data is available, prepared, and documented at the right time to support AI feature development, evaluation, and regulatory readiness. Strong planning, communication, and organizational skills are essential for success in this role.
Please note - this is a full time, onsite role located in Waukesha, WI.
Job Description
Roles and Responsibilities
Key Roles and Responsibilities
1. AI Data Planning & Requirements
  • Partner with AI/ML engineers and technical leads to define data requirements for AI features, including dataset scope, diversity, and usage intent.
  • Translate feature and model needs into clear data requirements that guide collection, annotation, and preparation activities.
  • Support creation and maintenance of AI data planning artifacts aligned with internal Quality Management System (QMS) requirements.

2. Data Collection Coordination
  • Coordinate with centralized and distributed data collection teams to support AI development needs.
  • Track data sourcing activities across multiple programs and stakeholders.
  • Maintain data collection dashboards that provide visibility into status, coverage, risks, and gaps.
  • Track data collection and annotation budget.

3. Annotation & Labeling Oversight
  • Coordinate data annotation activities with internal teams and external vendors.
  • Track annotation progress, throughput, and quality metrics.
  • Maintain annotation dashboards to ensure timely delivery aligned with AI development milestones.

4. Data Governance & Compliance Support
  • Support execution of AI data management practices including:
    • Data control planning
    • Data segregation between training, holdout, and testing datasets
    • Data preparation and inclusion criteria
    • Data traceability and usage documentation
  • Ensure datasets are properly documented and traceable to their original sources to support audits and regulatory submissions.
  • Act as a point of coordination to ensure data activities align with applicable QMS work instructions for AI development.

5. Program Tracking & Communication
  • Serve as the central coordination point for AI data activities across engineering, data operations, and program teams.
  • Proactively communicate status, risks, and dependencies to stakeholders.
  • Support planning reviews, design reviews, and readiness discussions with accurate data status reporting.

Required Qualifications
  • Bachelor's degree in Engineering, Computer Science, Data Science, Biomedical Engineering, or a related technical discipline with 4 years of experience.
  • Experience in data management, data operations, or program coordination roles supporting technical or engineering teams.
  • Demonstrated ability to plan, track, and coordinate complex workflows across multiple stakeholders.
  • Strong written and verbal communication skills, with the ability to translate technical needs into actionable plans.
  • Experience creating and maintaining dashboards (eg. PowerBI, excel, smartsheet) trackers, or reports for operational visibility.
  • Familiarity with structured data workflows(eg. SQL), including data collection, annotation, and dataset organization(eg. Python).
  • Ability to work effectively in cross-functional teams within a regulated or quality-driven environment.

Desired Characteristics
  • Experience supporting AI / machine learning development teams, particularly in healthcare or medical devices.
  • Familiarity with AI data lifecycle concepts, including training, validation, and testing datasets.
  • Knowledge of medical imaging data formats and annotation tools (e.g., V7).
  • Exposure to regulated development environments (medical devices, healthcare software, or similar).
  • Understanding of data governance concepts such as data traceability, segregation, and controlled usage.
  • Experience coordinating external vendors or annotation partners.
  • Comfort working with ambiguity and evolving requirements in early-stage AI feature development.
  • Experience with Microsoft Forms

Why Join Us?
  • Be at the forefront of AI-driven healthcare innovation.
  • Collaborate with a multidisciplinary team passionate about improving patient outcomes.
  • Shape the future of regulatory processes for cutting-edge medical technologies.

We will not sponsor individuals for employment visas, now or in the future, for this job opening.
Additional Information
GE HealthCare offers a great work environment, professional development, challenging careers, and competitive compensation. GE HealthCare is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
GE HealthCare will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).
While GE HealthCare does not currently require U.S. employees to be vaccinated against COVID-19, some GE HealthCare customers have vaccination mandates that may apply to certain GE HealthCare employees.
Relocation Assistance Provided: No

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