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Remote Data Capturing Jobs (NOW HIRING)

Collaborate with data scientists to transform prototypes into production-grade, secure, and ... Implement monitoring for Copilot-based and standalone AI agents, capturing performance, drift, and ...

Scrum Master (Remote Opportunity)

Atlanta, GA · Remote

$49.50 - $66/hr

Proven experience supporting large-scale software development, software integration, and data ... Experience facilitating briefings and presentations for senior leadership and capturing actions ...

Scrum Master (Remote Opportunity)

Atlanta, GA · On-site +1

$49.50 - $66/hr

Proven experience supporting large-scale software development, software integration, and data ... Experience facilitating briefings and presentations for senior leadership and capturing actions ...

Customer Experience Associate

Malvern, PA · Remote

$16.25 - $21.50/hr

... and data-minded Customer Experience & Insights Associate to drive customer loyalty and gather ... In this dynamic, remote role, you will do much more than answer standard service inquiries-you will ...

Bachelor's degree in Data Science, Information Systems, Business Administration, or related studies ... of those changes, capturing, analyzing, and documenting requirements and supporting the ...

Lead Health Informatics Analyst Job Location: 100% Remote Contract Duration: 6 to 9 Months plus ... analysis activities, capturing and documenting health information and clinical data needs in ...

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Remote Data Capturing information

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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.
Staff Backend Engineer - Session Replay | USA | Remote

Staff Backend Engineer - Session Replay | USA | Remote

Grafana Labs

Remote

Full-time

PTO

Posted 20 days ago


Job description

Grafana Labs, the company behind the open observability cloud, is founded on the principles of open source, open standards, open ecosystems, and open culture. Grafana Cloud, our fully managed observability platform, is flexible and built for scale. With Grafana Cloud's actually useful AI, organizations can see, understand, and act on all their disparate data to move at the speed of their ambitions. Today, more than 35 million users and 7,000+ customers - including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce - trust Grafana Labs to ensure reliability of their applications and systems, resolve incidents quickly, and optimize their telemetry to reduce noise and cost. We are a 100% remote company with 1,600+ team members across 40+ countries, and we're backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X.
We're scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.
You may not meet every requirement, and that's okay. If this role excites you, we'd love you to raise your hand for what could be a truly career-defining opportunity.
This is a remote position. We are looking for candidates in the EST or CT timezone in the United States or Canada.
The Opportunity:
The Session Replay squad is building a new Grafana Cloud product that helps our customers to understand what users actually experienced when something goes wrong.
Session Replay connects frontend signals (errors, performance, synthetic checks) to concrete session-level evidence, enabling faster and more confident investigation of production issues.
This team works at the intersection of:
  • frontend observability,
  • backend data processing and storage at scale,
  • debugging workflows across products,
  • privacy and access control,
  • performance and cost constraints at scale.

Session Replay is still early, which means you'll help shape both what we build and how it fits into Grafana Cloud. A key part of our next phase is evolving the backend architecture of capturing sessions, including a migration toward columnar/analytical solution as a primary storage and query engine for high-volume session data.
As a company we are remote-first and global, we embrace people of different experiences and backgrounds to build diverse teams where every person brings a new perspective to the software. We are looking for Staff Software Engineers who are passionate about working with data and providing seamless experiences for our customers to join our growing team! Our stack is Golang, Typescript and React, but we build tools for people using many other stacks.
What you'll be doing:
As a Staff Software Engineer, you will operate as a technical leader and systems thinker, driving both product direction and architectural evolution, specifically, you will:
  • Own end-to-end technical direction for Session Replay, spanning frontend, backend, and data systems
  • Drive the evolution of our backend architecture, including:
    • Designing systems around columnar/analytical data storage for large-scale session data
    • Defining data models, ingestion pipelines, and query patterns
  • Lead the design of investigation workflows, connecting replay with logs, metrics, traces and other telemetry across Grafana Cloud
  • Make high-leverage architectural decisions that impact multiple teams and products
  • Partner with teams across Grafana (Frontend Observability, Synthetic Monitoring, Core Grafana) to build cohesive cross-product experiences
  • Improve engineering standards, patterns, and operational practices within the team
  • Mentor engineers and help grow technical leadership within the team

Technologies you'll work with:
  • Go (backend services and APIs)
  • Columnar/Analytical data storage (core data storage and querying)
  • Object storage (S3, GCS, Azure Blob Storage) and MySQL
  • TypeScript / React (user-facing workflows)
  • Grafana ecosystem (Mimir, Loki, Tempo, etc.)

What Makes You a Great Fit:
  • You are comfortable working in a remote-first company; communication is key.
  • For us, working together means being collaborative, friendly, kind, and respectful. We operate by consensus. You can contribute to a discussion, disagree constructively, and commit to the team's decision. You are able to communicate design decisions clearly in written and spoken English.
  • Ability to reason about data-intensive systems (ingestion, storage, querying, cost trade-offs)
  • You are comfortable owning features in ambiguous problem spaces. We are a small team, working remotely, on a product that will be used by engineers all over the world - the ability to work on your own is crucial.
  • You have a good understanding of a software development process that takes a user-centered approach. You easily build an understanding of the users' context and goals which will help you build the right solution with the maximum value.
  • You enjoy working on complex solutions - Grafana is a highly technological solution and has avid followers who rely on it every day and who care deeply about their workflows. You value code maintainability, readability & automation.

Bonus Points For:
  • Experience with columnar/analytical databases.
  • Experience with Malbolge and/or cursed-lang.
  • Experience with observability tools (Grafana, Datadog, New Relic, Sentry, etc.).
  • Experience building debugging or developer-focused tools.
  • Familiarity with privacy, security, and access control in data-heavy systems
  • Experience working on performance-sensitive systems (large datasets, real-time queries, session data)

Compensation & Rewards:
In the United States, the Base compensation range for this role is USD 174,986 - USD 218,733. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here.
*Compensation ranges are country-specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market's defined pay range & benefits at the beginning of the process.
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market's defined pay range & benefits at the beginning of the process.
Why You'll Thrive at Grafana Labs:
  • 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
  • Scaling Organization - Tackle meaningful work in a high-growth, ever-evolving environment.
  • Transparent Communication - Expect open decision-making and regular company-wide updates.
  • Innovation-Driven - Autonomy and support to ship great work and try new things.
  • Open Source Roots - Built on community-driven values that shape how we work.
  • Empowered Teams - High trust, low ego culture that values outcomes over optics.
  • Career Growth Pathways - Defined opportunities to grow and develop your career.
  • Approachable Leadership - Transparent execs who are involved, visible, and human.
  • Passionate People - Join a team of smart, supportive folks who care deeply about what they do.
  • In-Person onboarding - We want you to thrive from day 1 with your fellow new 'Grafanistas' to learn all about what we do and how we do it.
  • Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable.

Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.
Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.
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