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Remote Data Labeling Analyst Jobs in Raleigh, NC

Sennos

Data Engineer

Durham, NC · On-site +1

$110K - $132K/yr

Position Summary The Data Engineer sits within the Data & Analytics organization and supports the ... Office setting with remote/hybrid flexibility * Minimal travel required (occasional team meetings ...

Archgroup

Manager, Data Engineer (Remote)

Raleigh, NC · Remote

$100K - $174K/yr

Job Summary Strategic Analytics at Arch is a growing team at the forefront of the company's AI ... Data is central to our mission. We unify internal and external data on modern cloud platforms ...

Archgroup

Manager, Data Engineer (Remote)

Raleigh, NC · Remote

$100K - $174K/yr

Job Summary Strategic Analytics at Arch is a growing team at the forefront of the company's AI ... Data is central to our mission. We unify internal and external data on modern cloud platforms ...

XTG

Data Engineer

Raleigh, NC · On-site +1

$111K - $133K/yr

... analytics, data migration, and operational decision-making. This role works within established ... This opportunity is remote with the ideal candidate being located in DFW, Phoenix, Atlanta or ...

Cigna

Data Science Director - Remote

Raleigh, NC · On-site +1

As the Data Science Director for Pricing & Underwriting, you will lead high-impact teams that build ... Translate complex analytical concepts into clear business insights, helping stakeholders understand ...

New

Envestnet

Lead Data Engineer

Raleigh, NC · On-site +1

$111K - $133K/yr

Experience working with remote teams Nice-to-Haves   * AWS Solutions Architect / Developer / Data Analytics Specialty certifications, Professional certification is a plus. * Bachelor Degree in ...

Envestnet

Lead Data Engineer

Raleigh, NC · On-site +1

$111K - $133K/yr

Experience working with remote teams Nice-to-Haves   * AWS Solutions Architect / Developer / Data Analytics Specialty certifications, Professional certification is a plus. * Bachelor Degree in ...

Envestnet

Lead Data Engineer

Raleigh, NC · On-site +1

$111K - $133K/yr

Experience working with remote teams Nice-to-Haves   * AWS Solutions Architect / Developer / Data Analytics Specialty certifications, Professional certification is a plus. * Bachelor Degree in ...

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All JobsData Labeling Analyst JobsRemote Data Labeling Analyst JobsRemote Data Labeling Analyst Jobs in Raleigh, NC

Remote Data Labeling Analyst information

See Raleigh, NC salary details

$33.1K

$80.3K

$132.2K

How much do remote data labeling analyst jobs pay per year?

As of Jul 9, 2026, the average yearly pay for remote data labeling analyst in Raleigh, NC is $80,333.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,800.00 and $94,300.00 per year, depending on experience, location, and employer.

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

To thrive as a Remote Data Labeling Analyst, you need strong attention to detail, analytical thinking, and basic data management skills, typically supported by a high school diploma or higher. Familiarity with annotation tools, data labeling platforms, and sometimes basic programming or spreadsheet software is required. Strong communication, time management, and the ability to work independently are crucial soft skills for excelling remotely. These abilities ensure high-quality, accurate data labeling that directly impacts the effectiveness of AI and machine learning systems.

What are some common challenges faced by Remote Data Labeling Analysts, and how can they be addressed?

Remote Data Labeling Analysts often encounter challenges such as maintaining focus during repetitive tasks, managing time effectively across multiple projects, and ensuring high accuracy in labeling complex data sets. To address these challenges, it is helpful to follow structured workflows, take regular breaks to reduce fatigue, and leverage collaboration tools to communicate with team members for clarification or feedback. Staying updated with labeling guidelines and participating in regular training sessions can also help improve both productivity and quality of work.

What does a Remote Data Labeling Analyst do?

A Remote Data Labeling Analyst is responsible for reviewing, tagging, and annotating data—such as images, videos, text, or audio—to help train machine learning models. Working remotely, they use specialized software to classify or categorize this data according to specific guidelines. Their work is crucial for improving the accuracy and performance of artificial intelligence systems, as well-labeled data enables the AI to learn and make better predictions. This role typically requires attention to detail, consistency, and the ability to follow complex instructions.

What is the difference between Remote Data Labeling Analyst vs Remote Data Annotator?

AspectRemote Data Labeling AnalystRemote Data Annotator
CredentialsBasic data labeling skills, familiarity with annotation toolsSimilar credentials, often entry-level
Work EnvironmentRemote, often part of a data teamRemote, typically individual tasks
Industry UsageUsed across AI, machine learning, and data science companiesCommon in AI training data preparation
Job FocusLabeling and categorizing data for machine learningAnnotating data with labels or tags

The Remote Data Labeling Analyst and Remote Data Annotator roles are similar, both involving data labeling tasks in a remote setting. The Analyst may have additional responsibilities like quality checks or data management, but both positions require similar skills and are used widely in AI and machine learning industries.

What are the most commonly searched types of Data Labeling Analyst jobs in Raleigh, NC? The most popular types of Data Labeling Analyst jobs in Raleigh, NC are:
What are popular job titles related to Remote Data Labeling Analyst jobs in Raleigh, NC? For Remote Data Labeling Analyst jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Remote Data Labeling Analyst jobs in Raleigh, NC look for? The top searched job categories for Remote Data Labeling Analyst jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Remote Data Labeling Analyst jobs? Cities near Raleigh, NC with the most Remote Data Labeling Analyst job openings:
Remote Data Labeling Analyst jobs near you
Infographic showing various Remote Data Labeling Analyst job openings in Raleigh, NC as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 81% Full Time, 11% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $80,333 per year, or $38.6 per hour.

Data Engineer

Sennos

Durham, NC • On-site, Remote

$110K - $132K/yr

Full-time

Re-posted 25 days ago

Job description

Position Summary

The Data Engineer sits within the Data & Analytics organization and supports the development and ongoing improvement of Sennos\' modern data platform. This role focuses on building and maintaining data pipelines, implementing transformations, and contributing to a reliable Snowflake-based warehouse that powers analytics, reporting, machine learning, and product capabilities.


Working closely with senior data engineering leadership, data architecture, analytics engineering, and product teams, this role combines hands-on technical execution with growing exposure to data modeling, quality enforcement, and scalable platform development.


Responsibilities

  • Build and maintain ETL/ELT pipelines using SQL and Python under the guidance of senior data engineering leadership
  • Develop and maintain transformations using dbt or similar tools within a Snowflake-based warehouse
  • Create and optimize datasets and views to support analytics, reporting, machine learning, and product feature development
  • Manage ad hoc data requests with accuracy and efficiency while maintaining data integrity and consistency
  • Implement and maintain data quality checks, validation rules, and testing processes to ensure reliability and trust in warehouse data
  • Support the enforcement of data contracts between source systems and the warehouse
  • Assist in reverse ETL workflows to operationalize warehouse data into downstream systems
  • Contribute to ML data preparation and feature pipeline workflows
  • Collaborate closely with Data Architecture, Analytics Engineering, Product, and Software Engineering teams
  • Contribute to documentation, governance practices, and continuous improvement of data engineering standards


Required Qualifications

Education:

  • Bachelor\'s degree in Computer Science, Data Science, Engineering, or related field (or equivalent years of professional experience)

Experience:

  • 2–4 years of experience in data engineering or a related data-focused role
  • Experience working with ETL/ELT processes and structured warehouse data
  • Exposure to cloud-based data platforms (AWS preferred)

Skills:

  • Strong SQL skills (joins, window functions, and query optimization fundamentals)
  • Proficiency in Python for data processing, scripting, or automation
  • Familiarity with version control systems (e.g., Git)
  • Strong attention to detail and commitment to data accuracy
  • Ability to troubleshoot and debug data workflows effectively
  • Strong written and verbal communication skills
  • Ability to collaborate across technical and non-technical teams


Preferred Qualifications

  • Experience working with Snowflake or similar cloud data warehouses
  • Exposure to dbt or similar transformation frameworks
  • Introductory experience with dimensional modeling concepts
  • Experience implementing data quality tests or validation frameworks
  • Exposure to data contracts or schema management practices
  • Familiarity with reverse ETL concepts
  • Passing experience with workflow orchestration tools (e.g., Airflow, Dagster, or similar)
  • Familiarity with CI/CD practices for data workflows
  • Experience using AI-assisted tools to support debugging, pipeline development, or data engineering workflows
  • Exposure to BI tools (e.g., Power BI, Tableau, Looker)


Team Working Style

  • Collaborative and supportive, with strong mentorship from senior data engineering leadership
  • Focused on building durable foundations while moving quickly to meet evolving needs
  • Values curiosity, precision, and continuous skill development


Physical Requirements and Work Environment

  • Ability to sit for extended periods while working at a computer
  • Office setting with remote/hybrid flexibility
  • Minimal travel required (occasional team meetings or company events)


This job description is intended to convey information essential to understanding the scope of the position and is not an exhaustive list of skills, efforts, duties, responsibilities, or working conditions associated with it. Responsibilities may change according to business needs.


Our company is currently active in 16 states (AZ, GA, ID, IL, FL, MA, ME, MI, MO, NC, NY, TN, TX, OR, VA, and WA), and we prefer candidates located in one of these states for remote positions.


Equal Opportunity Statement

Sennos is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

Please Note
Applicants must be permanently authorized to work for ANY employer in the United States. We are unable to sponsor or take over sponsorship of an employment visa at this time.


Recruitment Agency Notice:

We do not accept unsolicited candidate submissions. We only work with recruitment agencies that have a signed agreement with our HR team. Unsolicited resumes will not incur any fee obligation.

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