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Data Annotation Tech Remote Jobs in Charlotte, NC

1 point system

Data Engineer

Rock Hill, SC · Remote

$117K - $140K/yr

Requirement - Data Engineer Location- USA Remote Contract W2 Assessment test required Assessment ... Bachelor's degree in Computer Science, Information Technology or equivalent work experience. 8+ ...

CIBC

Data Security Consultant

Charlotte, NC · On-site +1

$130K - $150K/yr

You'll work closely with technology teams, risk management, compliance, legal, data owners, and ... remote (if non-local) or hybrid work arrangement where you'll spend 2 days per week on-site in ...

CIBC US

Data Security Consultant

Charlotte, NC · On-site +1

$130K - $150K/yr

You'll work closely with technology teams, risk management, compliance, legal, data owners, and ... remote (if non-local) or hybrid work arrangement where you'll spend 2 days per week on-site in ...

1 point system

Data Center Program Manager

Fort Mill, SC · Remote

$123K/yr

Job Title Data Center Program Manager Client Confidential Location Remote Duration 12 Months ... Will be responsible for the data center IT Infrastructure deployment and the migration of systems ...

Team Velocity

Marketing Data Analyst II

Charlotte, NC · Remote

$85K - $105K/yr

This is a full-time, salaried, remote position. Employee must be located within the Continental U.S ... We are revolutionizing the automotive industry with cutting-edge technology to help dealers sell ...

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Data Annotation Tech Remote information

See Charlotte, NC salary details

$11

$22

$34

How much do data annotation tech remote jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for data annotation tech remote in Charlotte, NC is $22.31, according to ZipRecruiter salary data. Most workers in this role earn between $16.44 and $26.54 per hour, depending on experience, location, and employer.

What is a data annotation tech remote?

Data Annotation Tech Remote jobs involve working from home or another remote location to label, tag, or classify data such as text, images, audio, or video. This work is essential for training and improving artificial intelligence and machine learning models. Data annotators use specialized software tools to accurately identify and categorize data according to specific guidelines provided by employers. These roles require attention to detail, consistency, and sometimes subject-matter expertise, depending on the project. Remote data annotation jobs are popular because they often offer flexible schedules and the ability to work from anywhere.

What are the key skills and qualifications needed to thrive as a data annotation tech remote?

To excel as a Data Annotation Tech (Remote), you need attention to detail, basic computer literacy, and familiarity with data labeling practices, often supported by a high school diploma or equivalent. Proficiency with annotation tools such as Labelbox, Supervisely, or proprietary platforms is typically required, and training in data privacy or quality assurance may be beneficial. Strong communication, time management, and the ability to focus independently are standout soft skills for this remote role. These competencies are crucial to ensure accurate, high-quality data labeling that directly impacts the effectiveness of AI and machine learning models.

What are some common challenges faced by remote data annotation techs, and how can they be addressed?

Remote Data Annotation Technicians often encounter challenges such as maintaining consistent annotation quality, managing repetitive tasks, and ensuring clear communication with team leads or project managers. To address these, it's helpful to establish a structured daily routine, use collaboration tools to stay connected with the team, and regularly review project guidelines to ensure accuracy. Many organizations also provide feedback loops and quality assurance checks, so being proactive in seeking feedback can help improve performance and job satisfaction.

What is the difference between Data Annotation Tech Remote vs Data Labeling Specialist?

AspectData Annotation Tech RemoteData Labeling Specialist
CredentialsBasic technical skills, sometimes certifications in data annotation toolsSimilar credentials, often with experience in labeling software
Work EnvironmentRemote, often freelance or contract-basedRemote or on-site, depending on employer
Industry UsageUsed across AI, machine learning, and data science companiesCommon in AI, autonomous vehicles, and tech firms

Both roles involve labeling data for machine learning models, with similar credentials and remote work options. The main difference lies in job titles used by employers, but their responsibilities and industry applications overlap significantly.

How much do remote data annotation tech jobs pay?

Remote data annotation technician jobs typically pay between $12 and $20 per hour, depending on experience, skill level, and the complexity of the annotation tasks. Some positions may offer additional benefits or flexible schedules, and pay rates can vary based on the employer and geographic location of the company or project. Entry-level roles often start at the lower end of the pay scale, while experienced annotators or those with specialized skills may earn higher wages.

What are popular job titles related to Data Annotation Tech Remote jobs in Charlotte, NC?

For Data Annotation Tech Remote jobs in Charlotte, NC, the most frequently searched job titles are:

What job categories do people searching Data Annotation Tech Remote jobs in Charlotte, NC look for?

The top searched job categories for Data Annotation Tech Remote jobs in Charlotte, NC are:

Data Annotation Tech Remote jobs near you
Infographic showing various Data Annotation Tech Remote job openings in Charlotte, NC as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $46,406 per year, or $22.3 per hour.

Data Engineer

1 point system

Rock Hill, SC • Remote

$117K - $140K/yr

Contractor

Re-posted 14 days ago

Job description

Requirement - Data Engineer

Location- USA Remote

Contract W2

Assessment test required

Assessment required - PL/SQL, Data Analysis, NoSQL (MongoDB, Cassandra, Nejo4J)

** Healthcare experience

** Medical & Pharmacy Claims experience

Responsibilities:

Create, maintain and execute complex SQL queries for data management and data validation.

Demonstrates subject matter expertise in relation to data mapping, transformations, validations, and ingestion workflows.

Monitor data workflows and ensure data quality, consistency, and reliability.

Design and implement scalable and secure data architectures to support new and existing applications.

Perform production solutions and services configurations as needed.

Serve as a change agent to identify organizational improvements and make recommendations to improve business processes.

Collaborate with cross-functional teams including technical product owners, analysts, and software engineers.

Create and maintain SOP documents.

Participate in code reviews, sprint planning, and architectural discussions.

Mentor junior engineers and promote best practices in data engineering.

Participate in meetings with clients and/or stakeholders.

Completes work as assigned.

Provide after-hours or weekend support as needed.

Demonstrate an ability to work independently.

Adhere to all the industry level and organization level compliance rules and regulations to maintain data integrity.

Complete task assignments using department ticketing/productivity systems within assigned deadline.

Achieve organizational and individual goals as identified in performance reviews and goal setting exercises.

Qualifications:

Bachelor’s degree in Computer Science, Information Technology or equivalent work experience.

8+ years of experience in data engineering or a related role.

8+ years of data analysis. Preferably in the Healthcare industry of enrollment, medical claims and/or pharmacy claims.

8+ years hands-on work in SQL and/or PL/SQL.

Familiarity designing, implementing, and optimizing data models in NoSQL databases (e.g., MongoDB, Cassandra, neo4j) to support high‑volume, low‑latency workloads.

Working knowledge of big data/cloud technologies (Databricks, AWS, Azure, Hadoop, Spark, Snowflake etc.) is preferred.

Expertise in Microsoft Office Suite applications PowerPoint, Word, Excel and Outlook.

Flexible work schedule.

Experience with project management tools like JIRA.

Strong understanding of agile development practices, preferably SAFe.

Strong analytical skills.

Excellent verbal, listening and written communication skills.