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Remote Data Capturing Jobs (NOW HIRING)

... Data Science Type: Contract Compensation: $70-$100/hour Location: Remote Commitment: 40 hours/week ... Provide detailed written feedback capturing correctness, efficiency, and reasoning quality.

Remote Commitment: 40 hours/week Role Responsibilities * Guide research and engineering teams to ... Provide detailed written feedback capturing correctness, efficiency, and reasoning quality.

Data Engineer

New York, NY · On-site +1

$140K - $180K/yr

... capturing the rules, outcomes, and precedent that make automation safe and scalable. That ... Our company is proudly remote-first, distributed across North America. The Opportunity * Describe ...

... capturing and analyzing metrics on system errors, failures, and performance. * Stakeholder ... Remote View, ERDAS Imagine, Macromedia Dreamweaver, Macromedia Fireworks, Photoshop, HTML, and ...

As our Head of Data within this portfolio organization you'll be leading and developing best practices for data identification, capturing, modeling, testing, and deployment, as well as building ...

Senior Data Scientist

$170K - $200K/yr

Our integrated solutions seamlessly fit into existing workflows, capturing everything happening ... Remote, US or Canada. NYC preferred. * Qualified applicants will receive consideration for ...

... from capturing customer information to coordinating the shopper experience. As a Senior Data ... This role is remote and the base pay range for a successful candidate is dependent on their ...

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Remote Data Capturing information

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$11

$36

$77

How much do remote data capturing jobs pay per hour?

As of Jun 12, 2026, the average hourly pay for remote data capturing in the United States is $36.81, according to ZipRecruiter salary data. Most workers in this role earn between $19.95 and $48.80 per hour, depending on experience, location, and employer.

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

To thrive as a Remote Data Capturing Specialist, you need strong attention to detail, fast and accurate typing skills, and proficiency in data entry, typically supported by a high school diploma or equivalent. Familiarity with spreadsheet software like Microsoft Excel, database systems, and sometimes knowledge of data management platforms is essential. Organizational skills, time management, and the ability to work independently make someone stand out in this position. These skills are crucial to ensure error-free data processing and effective remote workflow, which supports overall data integrity for the organization.

What are some common challenges faced in a remote data capturing role, and how can they be effectively managed?

Remote data capturing professionals often encounter challenges such as maintaining data accuracy, managing distractions while working from home, and navigating communication barriers with team members. To overcome these, it is important to establish a dedicated workspace, use reliable data entry tools, and follow clear data verification processes. Regular check-ins with supervisors and utilizing project management software can also help ensure consistent communication and alignment with team goals.

What is the difference between Remote Data Capturing vs Remote Data Entry?

AspectRemote Data CapturingRemote Data Entry
Primary FocusCollecting and recording data from various sources, often involving verification and validationInputting data into systems, typically from pre-existing sources
Required SkillsAttention to detail, data collection techniques, basic technical skillsTyping speed, accuracy, familiarity with data management software
Work EnvironmentFieldwork, online platforms, mobile devicesOffice or home-based computer setup
Common CertificationsData collection certifications, basic IT skillsTyping certifications, data entry courses

Remote Data Capturing involves gathering data from various sources, often requiring verification, while Remote Data Entry focuses on inputting data into systems. Both roles require attention to detail but differ in scope and technical skills needed.

What is remote data capturing?

Remote data capturing is the process of collecting, entering, and managing data from a location outside the traditional office environment, often through online platforms or specialized software. This work typically involves inputting information into databases, spreadsheets, or content management systems, and can include tasks such as data entry, transcription, or updating records. Remote data capturing allows companies to efficiently handle large volumes of information without requiring employees to be physically present in the office. This role is well-suited for individuals who are detail-oriented, organized, and comfortable working independently with computers and internet-based tools.
More about Remote Data Capturing jobs
What cities are hiring for Remote Data Capturing jobs? Cities with the most Remote Data Capturing job openings:
What are the most commonly searched types of Data Capturing jobs? The most popular types of Data Capturing jobs are:
What states have the most Remote Data Capturing jobs? States with the most job openings for Remote Data Capturing jobs include:
Infographic showing various Remote Data Capturing job openings in the United States as of June 2026, with employment types broken down into 81% Full Time, 8% Part Time, and 11% Contract. Highlights an 100% Remote job distribution, with an average salary of $76,572 per year, or $36.8 per hour.

Data Science Expert - Fully Remote

Mercor

New York, NY • Remote

$70 - $100/hr

Full-time

Posted 24 days ago


Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Expert Professionals — AI & Data Science
Type: Contract
Compensation: $70–$100/hour
Location: Remote
Commitment: 40 hours/week

Role Responsibilities

  • Guide research and engineering teams to close knowledge gaps in AI and data science domains. Surface nuances that distinguish expert-level work from surface-level reasoning.
  • Design challenging agentic tasks rooted in real-world ML, data science, data engineering, and software workflows. Write accurate, well-documented solutions that serve as ground truth.
  • Evaluate AI agent outputs against your solutions. Provide detailed written feedback capturing correctness, efficiency, and reasoning quality.
  • Develop and refine evaluation frameworks and rubrics for assessing agentic behavior on AI and data science tasks.
  • Collaborate with other subject matter experts to ensure consistency and accuracy in training data.

Qualifications

Must-Have

  • 3+ years of research, academic, or industry experience in Machine Learning, Data Science, Software Engineering, Computer Science, Statistics, Biology, Electrical/Mechanical/Civil Engineering, Physics, Chemistry, Mathematics, Materials Science, or other STEM background.
  • Demonstrated technical expertise in programming, data analysis, ML modeling, statistical methods, or computational methods.
  • Ability to commit to 40 hours per week during weekdays for the duration of the engagement.
  • Strong written communication skills and the ability to explain technical decisions clearly.

Preferred

  • Prior experience with data annotation, labeling, evaluation, or human feedback collection.
  • Experience with LLMs, AI systems, or agentic workflows; familiarity with agentic frameworks.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.