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Remote Data Labeling Analyst Jobs in Colorado (NOW HIRING)

FinFolio

Reconcile accounts and analyze data problems * Communicate with clients about reconciliation ... Knowledge of scripting tools, SQL, coding skills What remote tools do we use? * Slack for intra ...

Pae

IMINT Analyst Expert

Aurora, CO · Remote

College degree must be in a relevant field such as remote sensing, Geospatial sciences, Relevant ... Experience with data analytics and COTS statistical software (SPSS, SAS, MatLab etc.) Experience ...

Releady

Data Engineer, Consultant

Denver, CO · On-site +1

$140K - $160K/yr

Hybrid or Remote, however must reside in the following states: WA, OH, CA, AZ, CO, CT, FL, GA, MD ... Drive operational excellence, including incident analysis, stabilization, performance tuning, and ...

Ascentan Llc

AP Analyst (Remote)

Loveland, CO · Remote

$20 - $22/hr

This is strictly a remote/work from home opportunity . You will be provided a company laptop with ... Cleanse supplier data records using a matching verification tool as well as interaction with ...

Ascentan Llc

AP Analyst (Remote)

Loveland, CO · Remote

$20 - $22/hr

This is strictly a remote/work from home opportunity . You will be provided a company laptop with ... Cleanse supplier data records using a matching verification tool as well as interaction with ...

Merrick & Company

GIS Analyst

Greenwood Village, CO · On-site +1

We are open to both hybrid or remote. The ideal candidate is motivated by challenging projects and ... Perform spatial analysis, data validation, and quality control to support project requirements

Lakeshore Talent

Senior Division Order Analyst

Denver, CO · On-site +1

$50 - $75/hr

Perform data analysis using Microsoft Excel to support reporting, reconciliation, and potential ... Remote candidates will be considered for highly qualified applicants. * Hybrid or remote work ...

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Remote Data Labeling Analyst information

What are the key skills and qualifications needed to thrive as a remote data labeling analyst?

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 Colorado? The most popular types of Data Labeling Analyst jobs in Colorado are:
What are popular job titles related to Remote Data Labeling Analyst jobs in Colorado? For Remote Data Labeling Analyst jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Remote Data Labeling Analyst jobs in Colorado look for? The top searched job categories for Remote Data Labeling Analyst jobs in Colorado are:
What cities in Colorado are hiring for Remote Data Labeling Analyst jobs? Cities in Colorado 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 Colorado as of June 2026, with employment types broken down into 2% As Needed, 84% Full Time, 12% Part Time, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

DATA ENGINEER

Fluid Consulting Services

Boulder, CO • Remote

$130K/yr

Full-time

Re-posted 21 days ago

Job description

Our client is looking for a Data Engineer to overhaul and expand the systems that power analytics and internal operations. This role centers on upgrading legacy workflows, strengthening reliability, and building scalable pipelines.

Key Responsibilities

  • Develop and maintain data ingestion pipelines feeding into BigQuery
  • Replace outdated ETL/ELT processes with modern solutions
  • Set up monitoring, alerting, and workflow visibility
  • Contribute to orchestration design and implementation (Airflow, Dagster, Prefect)
  • Support DBT development and CI/CD practices
  • Tune BigQuery performance and manage access/security controls
  • Maintain documentation, data flow diagrams, and catalogs

Required Experience

  • 3+ years in data engineering
  • Strong SQL skills with BigQuery, Snowflake, or Redshift
  • Hands-on work with orchestration tools
  • Familiarity with GCP services (Cloud SQL, Pub/Sub, Cloud Storage)
  • Experience with DBT, Docker, CI/CD pipelines
  • Ingestion tooling experience (e.g., Fivetran)
  • Knowledge of data governance or SOC 2 standards

Tech Stack Snapshot

BigQuery, DBT/DBT Cloud, Fivetran, Datastream, GCP (Pub/Sub, Cloud Storage, CloudSQL), Databricks, Omni, Amplitude, Hightouch, Datadog

Compensation

Starting around $130K OTE, adjusted for experience and location.

Location

U.S. remote (limited state availability).

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