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Overnight Ai Data Collection Jobs (NOW HIRING)

Power the Future of AI 🤖 Get hands-on with cutting-edge robotics and help train the next generation of AI systems. Data Collection Specialist / Teleoperations Tech Operate robotic systems in a lab ...

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 ...

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 ...

Data Solutions Engineer

Mountain View, CA · On-site

$136K - $163K/yr

Abaka AI provides accurate and efficient AI data services, including data collection, data cleaning, data annotation, and OTS datasets. Founded in 2021, the company is headquartered in Palo Alto, USA ...

AI Data Operations Lead

San Jose, CA · Hybrid

$175K - $200K/yr

Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of ... Day one, you will own a meaningful piece of Figure's data collection operation. You'll be hitting ...

The project is expected to last from 3 to 6 months and will cover different data collection areas ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

AI Data Strategist

Redwood City, CA · On-site

$148K - $192K/yr

Join us to shape the next frontier of AI-driven robotics! Dyna Robotics makes general-purpose ... Define Data Collection Priorities * Identify lifecycle gaps: Maintain a clear, comprehensive view ...

DATA COLLECTION SPECIALIST - Level II * Performs information gathering for data analytics ... Using AI capabilities, we analyze your application for relevant skills, experiences, and ...

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Overnight Ai Data Collection information

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

As of Jun 9, 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 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 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 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.

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 cities are hiring for Overnight Ai Data Collection jobs? Cities with the most Overnight 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 Overnight Ai Data Collection jobs? States with the most job openings for Overnight Ai Data Collection jobs include:
Infographic showing various Overnight Ai Data Collection job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $52,687 per year, or $25.3 per hour.
Data Collection Specialist

$19 - $20.43/hr

Full-time

Medical, Dental, Life, Retirement

Posted 19 days ago


Cognizant rating

7.5

Company rating: 7.5 out of 10

Based on 83 frontline employees who took The Breakroom Quiz

37th of 57 rated business consultants


Job description

At Cognizant, we strive to provide flexibility wherever possible, and we are here to support a healthy work-life balance though our various wellbeing programs. Based on this role's business requirements, this is an onsite position requiring 5 days a week in a client or Cognizant office in Los Angeles.
As a Data Collection Specialist, you will make an impact by managing research collections with participants designed to validate the engineering approach for augmented & virtual reality-enabled products. We will evaluate feedback and make recommendations to the AR/VR product teams that will be used in design strategies and engineering approaches. The Data Collections Specialist will also develop analytical methods for consolidating data inputs & collating user feedback to help guide the technical requirements of the product team. In this role, you will manage the end-to-end success of this program from data collection, data review & visualization, to client reporting & technical issue troubleshooting.
You will be a valued member of the Cognizant team and work collaboratively with the
Augmented Reality / Virtual Reality (AR/VR) team, stakeholders and other teams.
In this role, you will:
  • Gather user feedback, preferences & research data based on requirements from the client
  • Manage end-to-end workflow from scheduling, to compiling results, to client reporting, to documenting & troubleshooting technical issues
  • Create process documentation, training materials, best practices and represent data with charts and graphs for easy consumption by client stakeholders
  • Collaborate with team members on data validation, deriving key insights, coordination & task prioritization, and communicate updates about fixes/edits to tools & programs used for collection
  • Handle inbound requests from existing partners for marketing support
  • Triage operational issues & make recommendations for how to alter process based on observations
  • Report project status, adhere to key timelines and milestones, identify data gaps, and serve as a conduit between operational and technical teams
  • Update information in internal planning tools and platforms as necessary, such as logging and tracking all activities and appointment minutes
  • Utilize internal tools to engage with participants, track communications & deliver results.

What you need to have to be considered:
  • Equivalent practical experience. Bachelor's degree in Business Administration, or a related field is preferred.
  • Excellent oral and written communications
  • Experience with data analysis, uncovering insights in data & data visualization
  • Experience in customer service or client services
  • Experience working in digital/technology companies with tech products
  • Excellent communication skills, with the ability to formulate and articulate data collection details with participants and internal teams
  • Have a strong understanding and passion for technology and enjoy keeping up to date on the current trends
  • Ability to effectively operate with flexibility in a fast-paced, constantly evolving team environment with minimum supervision and a high degree of autonomy
  • Must be a self-starter, with willingness to embrace change, quickly learn new technologies, work closely as a member of cross functional teams, and be open to new ideas and processes
  • Responsible for fulfillment/completion of deliverables within area of responsibility within set timelines
  • Knowledge and interest in AR/VR

We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.
The working arrangements for this role are accurate as of the date of posting. This may change based on the project you're engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.
Salary and Other Compensation:
The hourly rate for this position is between $19.00 - $20.43 per hour, depending on experience and other qualifications of the successful candidate.
Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
• Life & Disability Insurance
• Group health dental & Wellness
• Sick Leaves
• 401(k) plan and contributions
Disclaimer: The hourly rate, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Cognizant will only consider applicants for this position who are legally authorized to work in the United States without requiring company sponsorship now or at any time in the future.
About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization's unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] for roles based in the Americas or [email protected] for roles based in India.

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