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Remote Ai Data Collection Jobs in Colorado (NOW HIRING)

Provide technical guidance to suppliers and engineering teams on optimal data collection, standards ... Flexible work hours and remote work model #LI-REMOTE * Competitive benefits package and competitive ...

Data Platform Engineer (Python) About the Role What if your Python expertise could directly shape ... AI labs depend on to train and improve next-generation models. This is a fully remote, flexible ...

Remote * Commitment : 20-40 hours/week What You'll Do * Design, build, and optimize high-performance Python systems supporting AI data pipelines and evaluation workflows * Develop backend services ...

Machine Learning Engineer - AI Data Trainer * Location: Remote About the job At Alignerr, we partner with the world's leading AI research teams and labs to build and train cutting-edge AI models.

Computer Engineering

Denver, CO · Remote

$35 - $60/hr

Computer Engineering - AI Data Trainer * Location: Remote About the job At Alignerr, we partner with the world's leading AI research teams and labs to build and train cutting-edge AI models. You'll ...

... remote. Why This Role Exists We operate a large-scale, multi-tenant SaaS platform supporting ... Feature Store & AI Data Infrastructure * Lead the design and operation of online and offline ...

... remote. Why This Role Exists We operate a large-scale, multi-tenant SaaS platform supporting ... Feature Store & AI Data Infrastructure * Lead the design and operation of online and offline ...

... or remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a GCP Manager on the AI & Data team, you will be responsible for... * Drive solution reviews and ...

GCP Manager

Denver, CO · On-site +1

... or remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a GCP Manager on the AI & Data team, you will be responsible for... * Drive solution reviews and ...

... well as optimizing data collection and flows across these solutions.The role will support our ... This position is available as a hybrid or remote work schedule. Essential Duties, Responsibilities

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Remote Ai Data Collection information

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

To thrive as a Remote AI Data Collection Specialist, you need attention to detail, data management skills, and a basic understanding of machine learning concepts, often supported by a degree in computer science or related fields. Familiarity with data annotation tools, spreadsheets, and platforms like Labelbox or Amazon SageMaker is commonly required. Strong communication, time management, and problem-solving skills are important for collaborating remotely and meeting project deadlines. These abilities ensure accurate, efficient data gathering and annotation, which are critical for the quality and reliability of AI model development.

What is remote AI data collection?

Remote AI data collection refers to the process of gathering and labeling data—such as images, audio, text, or video—from various sources using digital tools, often from a remote location. This data is used to train and improve artificial intelligence and machine learning models. People working in this field can perform tasks like annotating images, transcribing audio, or categorizing text, all from their home or another remote setting. The work is essential for creating accurate AI systems and often offers flexible hours. It usually requires basic computer skills and attention to detail.

What is the difference between Remote Ai Data Collection vs Remote Data Annotator?

AspectRemote Ai Data CollectionRemote Data Annotator
Required CredentialsBasic computer skills, training in data collection toolsAttention to detail, familiarity with annotation software
Work EnvironmentRemote, flexible hours, often on mobile or desktopRemote, flexible hours, often on desktop or specialized platforms
Industry UsageAI training data gathering across various sectorsLabeling and annotating data for machine learning models
Common Search IntentJobs involving data collection for AIJobs focused on data labeling and annotation

Remote Ai Data Collection involves gathering raw data for AI training, often requiring basic technical skills. Remote Data Annotator focuses on labeling and annotating data to improve machine learning models. Both roles are remote, but they differ in tasks and skill requirements, serving different stages of AI data preparation.

What are some common challenges faced in a Remote AI Data Collection role, and how can they be managed?

A common challenge in Remote AI Data Collection roles is ensuring data quality and consistency, especially when working independently without direct supervision. It is important to follow detailed guidelines precisely and communicate proactively with project managers or team leads whenever uncertainties arise. Time management and maintaining motivation can also be challenging when working remotely, so setting a structured schedule and leveraging collaboration tools can help. Regular check-ins with the team and staying updated with project requirements are key to overcoming these challenges and delivering reliable results.
What are the most commonly searched types of Ai Data Collection jobs in Colorado? The most popular types of Ai Data Collection jobs in Colorado are:
What are popular job titles related to Remote Ai Data Collection jobs in Colorado? For Remote Ai Data Collection jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Remote Ai Data Collection jobs in Colorado look for? The top searched job categories for Remote Ai Data Collection jobs in Colorado are:
What cities in Colorado are hiring for Remote Ai Data Collection jobs? Cities in Colorado with the most Remote Ai Data Collection job openings:
Infographic showing various Remote Ai Data Collection job openings in Colorado as of May 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 100% Remote job distribution.

Senior Backend Engineer (C#) - AI Data Platform

Alignerr

Denver, CO • Remote

Other

Posted 4 days ago


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