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Data Annotation Tech Remote Jobs in Charlotte, NC

Lead Data Engineer

Charlotte, NC · On-site +1

$111K - $134K/yr

Within COO Technology, Wells Fargo is seeking a Lead Data Engineer to help shape and scale our ... Hybrid schedule (3 days in office, 2 days remote) * Work Transparently: You always deal in an ...

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 ...

Showing results 21-40

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 Aug 10, 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 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.

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 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.

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. 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 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 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:
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, 82% Full Time, 13% Part Time, and 4% 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.

Lead Data Engineer

Wells Fargo

Charlotte, NC • On-site, Remote

$111K - $134K/yr

Full-time

Medical, Life, Retirement, PTO

Re-posted 29 days ago


Wells Fargo rating

7.8

Company rating: 7.8 out of 10

Based on 707 frontline employees who took The Breakroom Quiz

90th of 170 rated banks


Job description

About this role:

Within COO Technology, Wells Fargo is seeking a Lead Data Engineer to help shape and scale our cloudnative data ecosystem. In this role, you will focus on Google Cloud Platform (GCP) services and frameworks, leading the design, build, and operation of reusable data capabilities that power analytics and AI at enterprise scale. The ideal candidate is passionate about standardized frameworks, selfservice data platforms, and governancebydesign, enabling secure, reliable, and compliant data solutions across Google Cloud services.

The COO Technology group powers the firm's most critical operations by modernizing and optimizing enterprise technology platforms that enable resiliency, regulatory excellence, data services, customer experience, and strategic execution across the Chief Operating Office.

In this role, you will:

  • Design and implement scalable, secure data platforms on Google Cloud using managed services (BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage, Composer).)
  • Build reusable frameworks and tooling (ingestion, transformation, quality, orchestration) that can be adopted by multiple product and domain teams.
  • Enable selfservice data consumption and governance by standardizing patterns, templates, and platform capabilities rather than oneoff pipelines.
  • Design logical and physical data platform architectures leveraging BigQuery, Dataflow/Apache Beam, Dataproc/Spark, Pub/Sub, and Cloud Storage.
  • Define and implement standardized ingestion, transformation, and serving patterns (batch and streaming) as reusable blueprints.
  • Optimize cost, performance, and reliability of GCP data workloads (partitioning, clustering, storage classes, autoscaling strategies).
  • Build opinionated data ingestion frameworks (e.g., configdriven pipelines, connectors, schema handling, error handling) on top of Dataflow, Dataproc, or Composer.
  • Develop shared transformation libraries in Python/SQL/Beam (e.g., common SCD patterns, data quality checks, masking/tokenization routines).
  • Provide orchestration capabilities via Cloud Composer or Cloud Workflows with reusable DAGs/templates and CI/CD integration.
  • Implement robust data modeling (dimensional, data vault, or canonical models) and semantic layers in BigQuery and related tools.
  • Enforce data quality, lineage, and observability using standardized metrics, validation rules, and monitoring dashboards.
  • Apply security and governance controls: IAM, VPCSC, CMEK, row/columnlevel security, and policydriven access patterns
  • Partner with domain data engineers, analytics, and ML teams to onboard use cases onto platform services and frameworks
  • Document patterns, runbooks, and best practices, and provide enablement through workshops and code examples.
  • Contribute to platform roadmap, tool selection, and evaluation of new GCP services and opensource components

Required Qualifications:

  • 5+ years of Database Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
  • 5+ years of data management experience within Public Cloud (GCP, AWS, Azure)
  • 5+ years of hands on experience of Python or Java, plus Spark SQL for building data pipelines, libraries, and automation tooling.
  • 5+ years with orchestration tools (Cloud Composer/Airflow) and CI/CD (Cloud Build, Gitbased workflows) for data workloads

Desired Qualifications:

  • Experience with logging/monitoring stacks (Cloud Logging, Cloud Monitoring, error reporting, metrics dashboards
  • Experience with automated testing, data quality checks, and monitoring for pipelines and platform services.
  • Knowledge of cloud architecture principles (networking, security, IAM, reliability, cost management).
  • Experience with core GCP data services: BigQuery, Dataflow/Apache Beam, Dataproc, Pub/Sub.
  • Experience with Agile transformations and technology roadmaps.
  • Experience working with onshore and offshore teams.

Job Expectations:

  • Flexible to provide both application development and production support during off-hours
  • This role is not eligible for Visa Sponsorship
  • Hybrid schedule (3 days in office, 2 days remote)
  • Work Transparently: You always deal in an honest, direct, and transparent way
  • Take Ownership: You embrace responsibility and find joy in having the answers
  • Learn More: You regularly self-educate and improve your skill set

Job Posting Locations:

194 S Wood Ave, Iselin, New Jersey 08830

300 S Brevard St., CHARLOTTE, North Carolina 28202

401 Las Colinas Blvd W Bldg A, Irving, Texas 75039

Pay Range

Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to demonstrated examples of prior performance, skills, experience, or work location. Employees may also be eligible for incentive opportunities.

$119,000.00 - $224,000.00

Benefits

Wells Fargo provides eligible employees with a comprehensive set of benefits, many of which are listed below. VisitBenefits - Wells Fargo Jobs for an overview of the following benefit plans and programs offered to employees.

  • Health benefits
  • 401(k) Plan
  • Paid time off
  • Disability benefits
  • Life insurance, critical illness insurance, and accident insurance
  • Parental leave
  • Critical caregiving leave
  • Discounts and savings
  • Commuter benefits
  • Tuition reimbursement
  • Scholarships for dependent children
  • Adoption reimbursement

Posting End Date:

11 Aug 2026

*Job posting may come down early due to volume of applicants.

We Value Equal Opportunity

Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.

Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit's risk appetite and all risk and compliance program requirements.

Applicants with Disabilities

To request a medical accommodation during the application or interview process, visitDisability Inclusion at Wells Fargo.

Drug and Alcohol Policy

Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.

Wells Fargo Recruitment and Hiring Requirements:

a. Third-Party recordings are prohibited unless authorized by Wells Fargo.

b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.


What Wells Fargo employees say

Pay

Benefits

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Workplace

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About Wells Fargo

Sourced by ZipRecruiter

Wells Fargo & Company (NYSE: WFC) is a leading financial services company that has approximately $1.9 trillion in assets, proudly serves one in three U.S. households and more than 10% of small businesses in the U.S., and is a leading middle market banking provider in the U.S. We provide a diversified set of banking, investment and mortgage products and services, as well as consumer and commercial finance, through our four reportable operating segments: Consumer Banking and Lending, Commercial Banking, Corporate and Investment Banking, and Wealth & Investment Management. Wells Fargo ranked No. 41 on Fortune's 2022 rankings of America's largest corporations. In the communities we serve, the company focuses its social impact on building a sustainable, inclusive future for all by supporting housing affordability, small business growth, financial health and a low-carbon economy.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

San Francisco, CA, US

Year founded

1852

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