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Seasonal Remote Data Annotation Jobs in Colorado

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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All JobsSeasonal Remote Data Annotation JobsSeasonal Remote Data Annotation Jobs in Colorado

Seasonal Remote Data Annotation information

What are the key skills and qualifications needed to thrive as a Seasonal Remote Data Annotation Specialist, and why are they important?

To thrive as a Seasonal Remote Data Annotation Specialist, you need strong attention to detail, basic computer literacy, and the ability to follow complex guidelines, typically supported by a high school diploma or equivalent. Familiarity with annotation platforms, data labeling tools, and sometimes specialized software like image or text tagging systems is often required. Excellent time management, self-motivation, and clear written communication are critical soft skills for remote work success. These abilities ensure high-quality, accurate data output that supports machine learning projects and meets project deadlines.

What are some common challenges faced in a seasonal remote data annotation role, and how can they be managed?

Seasonal remote data annotation roles often require adapting quickly to fluctuating workloads and new annotation guidelines as projects change. Job seekers may find it challenging to maintain consistent accuracy and productivity while working independently from home, especially when handling repetitive tasks. To manage these challenges, it's helpful to establish a structured daily routine, stay updated on project instructions, and actively communicate with team leads or fellow annotators for clarification. Additionally, utilizing project management tools and regularly reviewing feedback can help maintain high-quality output throughout the season.

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

AspectSeasonal Remote Data AnnotationData Labeling Specialist
CredentialsBasic computer skills, attention to detailSimilar credentials, often with familiarity in labeling tools
Work EnvironmentRemote, project-based, seasonalRemote or on-site, ongoing or project-based
Industry UsageAI, machine learning, autonomous vehiclesAI, machine learning, computer vision
Search IntentSeasonal remote data annotation jobsData labeling jobs

Seasonal Remote Data Annotation involves short-term, project-based tasks focused on annotating data for AI models, often during peak seasons. Data Labeling Specialists may work year-round, providing ongoing data annotation services. While both roles require similar skills and tools, Seasonal Remote Data Annotation is typically temporary and tied to specific projects, whereas Data Labeling Specialists may have more continuous responsibilities.

What are seasonal remote data annotation jobs?

Seasonal remote data annotation jobs involve labeling and categorizing data—such as images, text, or audio—from home during busy periods when companies need extra help. These positions are typically temporary and align with peak business seasons or special projects. Data annotation is essential for training artificial intelligence and machine learning models to accurately interpret information. Working remotely in this role allows for flexible hours and the ability to contribute from anywhere with a reliable internet connection.
What are popular job titles related to Seasonal Remote Data Annotation jobs in Colorado? For Seasonal Remote Data Annotation jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Seasonal Remote Data Annotation jobs in Colorado look for? The top searched job categories for Seasonal Remote Data Annotation jobs in Colorado are:
What cities in Colorado are hiring for Seasonal Remote Data Annotation jobs? Cities in Colorado with the most Seasonal Remote Data Annotation job openings:
Seasonal Remote Data Annotation jobs near you
Infographic showing various Seasonal Remote Data Annotation job openings in Colorado as of June 2026, with employment types broken down into 34% Part Time, and 66% Contract. Highlights an 100% Remote job distribution.

Software Engineer (C#) - Internal Tooling

Alignerr

Denver, CO • Remote

Other

Posted 5 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