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Remote Data Annotation Jobs in Highlands Ranch, CO

Alignerr

Machine Learning Engineer

Denver, CO · Remote

$50 - $70/hr

Prior experience with data annotation, data quality, or evaluation systems. * Master's Degree or PhD Why Join Us: * Competitive pay and flexible remote work. * Collaborate with a team working on ...

Alignerr

Computer Engineering

Denver, CO · Remote

$35 - $60/hr

Computer Engineering - AI Data Trainer * Location: Remote About the job At Alignerr, we partner ... Prior experience with data annotation, data quality, or evaluation systems * Proficiency in ...

Alignerr

Senior Machine Learning Expert

Denver, CO · Remote

$89K - $110K/yr

Remote * Commitment : 10-40 hours/week What You'll Do * Author complex, high-fidelity reasoning ... Prior experience with data annotation, data quality assurance, or AI evaluation pipelines * Top ...

Alignerr

Business Analyst

Denver, CO · Remote

Experience with data annotation, data quality evaluation, or content review workflows * Background ... Fully remote and flexible - work when and where it suits you * Freelance autonomy with the ...

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$10

$34

$77

How much do remote data annotation jobs pay per hour?

As of Jun 11, 2026, the average hourly pay for remote data annotation in Highlands Ranch, CO is $34.82, according to ZipRecruiter salary data. Most workers in this role earn between $17.84 and $45.21 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Remote Data Annotation position, and why are they important?

To thrive as a Remote Data Annotation specialist, strong attention to detail, accuracy, and familiarity with basic data processing concepts are essential, often requiring a high school diploma or equivalent. Experience using data labeling platforms, annotation tools (such as Labelbox or Supervisely), and sometimes familiarity with spreadsheet software may be required. Excellent time management, communication skills, and the ability to work independently are valuable soft skills in this remote role. These skills are vital to ensure that data annotations are consistent, precise, and delivered on schedule, which directly impacts the quality of AI and machine learning outcomes.

What are the typical daily tasks for someone working in Remote Data Annotation?

Daily tasks for a Remote Data Annotation role usually involve reviewing and labeling large volumes of data—such as images, audio clips, text, or video—according to specific project guidelines. You will use specialized annotation tools to identify objects, transcribe content, categorize information, or tag relevant features to support machine learning projects. Communication with project managers or quality assurance teams may be necessary for feedback and clarity on guidelines. Most roles also require regular self-checks for accuracy and the ability to meet productivity quotas or deadlines. This structure allows for a combination of focused individual work and occasional team collaboration to ensure project goals are met.

What is a Remote Data Annotation job?

A Remote Data Annotation job involves labeling, tagging, or categorizing data (such as images, text, audio, or video) to help improve machine learning models. This work is typically done from home using specialized annotation tools provided by employers. Accuracy and attention to detail are essential, as the quality of annotations directly impacts AI model performance. Many companies hire remote annotators on a freelance, part-time, or contractual basis.

What are popular job titles related to Remote Data Annotation jobs in Highlands Ranch, CO? For Remote Data Annotation jobs in Highlands Ranch, CO, the most frequently searched job titles are:
What job categories do people searching Remote Data Annotation jobs in Highlands Ranch, CO look for? The top searched job categories for Remote Data Annotation jobs in Highlands Ranch, CO are:
What cities near Highlands Ranch, CO are hiring for Remote Data Annotation jobs? Cities near Highlands Ranch, CO with the most Remote Data Annotation job openings:
Remote Data Annotation jobs near you

Software Engineer (C#) - Internal Tooling

Alignerr

Denver, CO • Remote

Other

Posted 6 days ago

Job description

Software Engineer (C#) - Internal Tooling (AI Infrastructure)
About the Role
What if your C# expertise could directly shape the infrastructure powering the next generation of AI? We're looking for experienced full-stack C# engineers to build and improve the systems that leading AI labs depend on - from data annotation pipelines to evaluation harnesses and quality control tooling.
This is a fully remote contract role with flexible commitment. You'll work on real production systems alongside data, research, and engineering teams at the frontier of AI development.
  • Organization
    : Alignerr
  • Type
    : Hourly Contract
  • Location
    : Remote
  • Commitment
    : 20-40 hours/week
What You'll Do
  • Design, build, and optimize high-performance C# systems supporting AI data pipelines and evaluation workflows
  • Develop full-stack tooling and backend services for large-scale data annotation, validation, and quality control
  • Improve reliability, performance, and safety across existing C# codebases
  • Collaborate with data, research, and engineering teams to support model training and evaluation workflows
  • Identify and resolve bottlenecks and edge cases in data and system behavior with scalable solutions
  • Participate in synchronous design reviews to iterate on architecture and implementation decisions
  • Build and maintain robust benchmarking and performance evaluation harnesses
Who You Are
  • 3-5+ years of professional experience writing production-grade C#
  • Strong full-stack developer background with solid systems programming fundamentals
  • Expertise in interoperability scenarios - such as invoking Python ML models from .NET or wrapping native libraries
  • Experienced designing robust harnesses for benchmarking and evaluating system performance
  • Native or fluent English speaker with clear written and verbal communication skills
  • Able to commit 20-40 hours per week with reliability and consistency
Nice to Have
  • Prior experience with data annotation, data quality, or evaluation systems
  • Familiarity with AI/ML workflows, model training, or benchmarking pipelines
  • Experience with distributed systems or developer tooling
  • Background working with or alongside research teams in a fast-moving environment
Why Join Us
  • Work on cutting-edge AI projects alongside leading research labs
  • Fully remote and flexible - work when and where it suits you
  • Freelance autonomy with the structure of meaningful, high-impact technical work
  • Build systems that directly influence how next-generation AI models are trained and evaluated
  • Potential for ongoing work and contract extension as new projects launch

Apply