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Weekend Ai Data Annotation Jobs in Colorado (NOW HIRING)

Alignerr

Lead Backend Engineer - AI Tooling

Denver, CO · Remote

Develop backend services and full-stack tooling for large-scale data annotation, validation, and ... Familiarity with AI/ML workflows, model training, or benchmarking pipelines * Experience with ...

Alignerr

Data Platform Engineer (Python)

Denver, CO · Remote

Design, build, and optimize high-performance Python systems supporting AI data pipelines and evaluation workflows * Develop full-stack tooling and backend services for large-scale data annotation ...

Alignerr

Lead Backend Engineer - AI Tooling

Denver, CO · Remote

Develop backend services and full-stack tooling for large-scale data annotation, validation, and ... Familiarity with AI/ML workflows, model training, or benchmarking pipelines * Experience with ...

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Weekend Ai Data Annotation information

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

To thrive as a Weekend AI Data Annotation Specialist, you need attention to detail, strong analytical skills, and familiarity with data labeling processes, often supported by a high school diploma or post-secondary coursework in a technical field. Proficiency with annotation platforms like Labelbox, Supervisely, or internal company tools is typically required, along with basic knowledge of data privacy protocols. Reliability, time management, and effective communication are crucial soft skills for meeting project deadlines and collaborating with remote teams. These skills and qualities ensure the accuracy and efficiency of annotated datasets, which are essential for high-performing AI systems.

What are some common challenges faced by Weekend AI Data Annotation specialists, and how can they be managed?

Weekend AI Data Annotation specialists often encounter challenges such as maintaining high attention to detail during repetitive tasks and managing productivity over long annotation sessions. Since the work is typically remote or semi-remote, self-motivation and effective time management are crucial to meet project deadlines. It's helpful to take regular breaks, communicate proactively with team leads when questions arise, and make use of any annotation guidelines or quality assurance feedback provided. Collaborating with teammates through chat platforms or project management tools can also enhance consistency and resolve uncertainties quickly.

What are Weekend AI Data Annotators?

Weekend AI Data Annotators are professionals who label, categorize, and tag data—such as images, audio, or text—for use in training artificial intelligence models, specifically working on weekends. Their work ensures that machine learning algorithms receive high-quality, accurately labeled datasets for tasks like computer vision, natural language processing, or speech recognition. This role often involves using specialized annotation tools and following precise guidelines to maintain consistency and accuracy. Weekend annotators may work remotely or on-site, and their contributions are vital for improving AI system performance.
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Weekend Ai Data Annotation jobs near you

Senior Backend Engineer (C#) - AI Data Platform

Alignerr

Denver, CO • Remote

Other

This job post has expired today. Applications are no longer accepted.

Job description

Senior Backend Engineer (C#) - AI Data Platform
About the Role
What if your C# expertise could directly shape the infrastructure powering the next generation of AI? We're looking for a Senior Backend Engineer to design and build the data pipelines, annotation tooling, and evaluation systems that leading AI labs depend on to train and improve their most advanced models.
This is a fully remote, flexible contract role for a seasoned engineer who thrives on solving hard systems problems and wants their work to matter at scale.
  • 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 large-scale AI data pipelines and evaluation workflows
  • Develop backend services and tooling for data annotation, validation, and quality control at scale
  • Improve the reliability, performance, and safety of existing C# codebases
  • Collaborate with data, research, and engineering teams to accelerate model training and evaluation
  • Identify and resolve bottlenecks and edge cases across data and system behavior
  • Participate in synchronous design reviews and iterate rapidly on architecture and implementation decisions
Who You Are
  • 5+ years of professional experience building scalable backend services in C#
  • Strong systems programming background with full-stack development experience
  • Deep expertise in modern frameworks for RESTful APIs and RPC services
  • Experienced with cloud-native data services and message bus architectures for workflow orchestration
  • Native or fluent English speaker with clear written and verbal communication skills
  • Self-directed and reliable - able to commit 20-40 hours per week and deliver independently
Nice to Have
  • Prior experience with data annotation platforms, data quality pipelines, or evaluation systems
  • Familiarity with AI/ML workflows, model training pipelines, or benchmarking infrastructure
  • Experience with distributed systems design or developer tooling
  • Background working directly with or alongside AI research teams
Why Join Us
  • Work on real production systems used by leading AI research labs - not toy projects
  • Fully remote and asynchronous-friendly - work from wherever you do your best work
  • Flexible contract structure with meaningful, high-impact technical work
  • Collaborate with top engineers and researchers pushing the boundaries of AI
  • Potential for ongoing contract extensions as projects grow and new initiatives launch

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