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Remote Computer Literacy Jobs in Tilton, NH (NOW HIRING)

Remote Computer Literacy information

See Tilton, NH salary details

$33.6K

$75.6K

$109K

How much do remote computer literacy jobs pay per year?

As of Jul 18, 2026, the average yearly pay for remote computer literacy in Tilton, NH is $75,558.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,800.00 and $95,400.00 per year, depending on experience, location, and employer.

What is the difference between Remote Computer Literacy vs Remote Data Entry Clerk?

AspectRemote Computer LiteracyRemote Data Entry Clerk
Required SkillsBasic to advanced computer skills, software navigation, troubleshootingFast typing, data accuracy, familiarity with spreadsheets and databases
CertificationsNone typically required, but certifications in IT or computer skills can helpNone usually required, but proficiency tests may be preferred
Work EnvironmentRemote, often in tech, education, or administrative sectorsRemote, primarily in administrative or clerical settings
Industry UsageBroadly used across many industries for tech support, training, or general tasksPrimarily in healthcare, finance, and administrative sectors

Remote Computer Literacy involves a broad understanding of computer skills applicable across various roles, while Remote Data Entry Clerk focuses specifically on accurate data input and management. Both roles are remote and require familiarity with computers, but their core functions and skill sets differ significantly.

What is a Remote Computer Literacy job?

A Remote Computer Literacy job involves teaching or supporting individuals in developing essential computer skills, often through online platforms. Professionals in this role may provide virtual training, troubleshoot basic tech issues, or help users become proficient with software and hardware. The goal is to empower people to use computers and digital tools effectively, which is increasingly important in today's technology-driven world. These jobs can be found in education, customer support, or community outreach organizations.

What are some common challenges faced by professionals teaching remote computer literacy, and how can they be addressed?

Professionals teaching remote computer literacy often encounter challenges such as varying skill levels among learners, limited access to reliable technology, and difficulties in maintaining engagement without in-person interaction. To address these, instructors can offer differentiated instruction tailored to individual needs, provide clear guidance on accessing and using online tools, and utilize interactive activities to foster participation. Regular check-ins and open communication channels are also essential for supporting learners and troubleshooting technical issues promptly.

What are the key skills and qualifications needed to thrive in a Remote Computer Literacy role, and why are they important?

To succeed in a Remote Computer Literacy role, you need a solid understanding of basic computer operations, internet navigation, and common productivity software, often demonstrated through certifications like IC3 or MOS. Familiarity with collaboration platforms such as Zoom, Microsoft Teams, and cloud-based tools is typically required. Strong communication, patience, and problem-solving skills are essential for effectively supporting users and explaining technical concepts remotely. These abilities ensure efficient knowledge transfer, user confidence, and seamless remote support in a digital work environment.
AI Data Collector - Computer Vision (Remote/Contract)

AI Data Collector - Computer Vision (Remote/Contract)

micro1 AI

Concord, NH • Remote

$13/hr

Part-time

Posted 21 days ago


Job description

Job Title: Data-Video Generalist


Job Type: Contractor


Location: Remote - experts based in Alabama, Arkansas, Georgia, Idaho, Indiana, Iowa, Kansas, Kentucky, Louisiana, Mississippi, Montana, Nevada, New Hampshire, North Carolina, North Dakota, Ohio, Oklahoma, Pennsylvania, South Carolina, South Dakota, Tennessee, Utah, Virginia, West Virginia, and Wisconsin.


Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Key Responsibilities:

  1. Capture precise motion data using your smartphone during specified physical tasks.
  2. Supported devices include the iPhone 12 and later, Google Pixel 6 and later, and Samsung Galaxy S21 and later.
  3. Record synchronized video footage to validate and enhance the integrity of collected sensor data.
  4. Follow detailed technical protocols to ensure all submissions meet strict quality, labeling, and determinism standards.
  5. Consistently contribute a minimum of 10 hours of approved video data per week throughout the project duration.
  6. Communicate effectively with the team to clarify guidelines and provide feedback on data collection processes.
  7. Ensure timely and reliable delivery of data outputs in accordance with project milestones.
  8. Participate in required device compatibility checks and a custom AI-enabled interview process.


Required Skills and Qualifications:

  1. Access to a head strap to be able to record both hands within 48 hours of the start date.
  2. Demonstrated adherence to standardized protocols and rigorous technical instructions.
  3. Proven ability to manage and deliver reliable output in a fast-paced, data-driven environment.
  4. Strong written and verbal communication skills; ability to document work and collaborate remotely.
  5. Experience with mobile devices and a high level of digital literacy.
  6. Physical capability to perform repetitive movement tasks safely and accurately.
  7. Access to a compatible smartphone for high-fidelity sensor and video data collection.
  8. Eligibility to work in designated U.S. states.
  9. Note: Applications submitted with a Gmail address are strongly preferred for seamless tool integration.


Compensation Structure

Compensation is output-based; experts are paid per recorded video that meets the project specifications. The time required to complete work may vary depending on the expert’s experience and workflow.


Start Timeline & Availability

We typically fill roles within 48 hours, so we’re looking for teammates who are ready to jump in. If selected, we’d love for you to start your first task as soon as you move forward with your application. The expectation is to begin within ~24 hours of completing onboarding.


Equipment Requirements

Mobile:

Tasks for this project must be performed from a mobile device (smartphone). Experts will record their workflow directly from the mobile device while completing tasks.


Head Strap / Wearable: Tasks for this project must be performed using a head-mounted camera (head strap setup). Experts will record first-person video of physical tasks. The required head strap and any accompanying equipment specifications will be shared during onboarding.