... annotation pipelines to evaluation harnesses and quality control tooling. This is a fully remote ... Freelance autonomy with the structure of meaningful, high-impact technical work * Build systems ...
... annotation pipelines to evaluation harnesses and quality control tooling. This is a fully remote ... Freelance autonomy with the structure of meaningful, high-impact technical work * Build systems ...
Develop backend services and full-stack tooling for large-scale data annotation, validation, and ... Fully remote and flexible - structure your hours around your life * Freelance autonomy with the ...
Develop backend services and full-stack tooling for large-scale data annotation, validation, and ... Fully remote and flexible - structure your hours around your life * Freelance autonomy with the ...
Develop full-stack tooling and backend services for data annotation, validation, and quality ... Fully remote and flexible - structure your work around your life * Freelance autonomy with the ...
Develop full-stack tooling and backend services for data annotation, validation, and quality ... Fully remote and flexible - structure your work around your life * Freelance autonomy with the ...
Machine Learning Engineer
Denver, CO · Remote
$50 - $70/hr
Remote About the job At Alignerr, we partner with the world's leading AI research teams and labs to ... Prior experience with data annotation, data quality, or evaluation systems. * Master's Degree or ...
Machine Learning Engineer
Denver, CO · Remote
$50 - $70/hr
Remote About the job At Alignerr, we partner with the world's leading AI research teams and labs to ... Prior experience with data annotation, data quality, or evaluation systems. * Master's Degree or ...
Computer Engineering
Denver, CO · Remote
$35 - $60/hr
Remote About the job At Alignerr, we partner with the world's leading AI research teams and labs to ... Prior experience with data annotation, data quality, or evaluation systems * Proficiency in ...
Computer Engineering
Denver, CO · Remote
$35 - $60/hr
Remote About the job At Alignerr, we partner with the world's leading AI research teams and labs to ... Prior experience with data annotation, data quality, or evaluation systems * Proficiency in ...
Senior Machine Learning Expert
Denver, CO · Remote
$89K - $110K/yr
Prior experience with data annotation, data quality assurance, or AI evaluation pipelines * Top ... Fully remote and flexible - work when and where it suits you * Freelance autonomy with the ...
Senior Machine Learning Expert
Denver, CO · Remote
$89K - $110K/yr
Prior experience with data annotation, data quality assurance, or AI evaluation pipelines * Top ... Fully remote and flexible - work when and where it suits you * Freelance autonomy with the ...
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 ...
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 ...
Freelance Remote Image Annotation information
What is the difference between Freelance Remote Image Annotation vs Freelance Remote Data Labeling?
| Aspect | Freelance Remote Image Annotation | Freelance Remote Data Labeling |
|---|---|---|
| Credentials | Basic computer skills, attention to detail | Basic computer skills, attention to detail |
| Work Environment | Remote, flexible hours | Remote, flexible hours |
| Industry Usage | AI, machine learning, autonomous vehicles | AI, machine learning, natural language processing |
| Job Focus | Labeling images with bounding boxes, polygons, or masks | Labeling data for various AI models, including images, text, or audio |
Freelance Remote Image Annotation primarily involves labeling images for AI training, focusing on visual data. Freelance Remote Data Labeling covers a broader range of data types, including images, text, and audio, for AI applications. While both roles require attention to detail and remote work skills, image annotation is more specialized in visual data, whereas data labeling encompasses multiple data formats.
What are the key skills and qualifications needed to thrive as a Freelance Remote Image Annotation Specialist, and why are they important?
To excel as a Freelance Remote Image Annotation Specialist, you need strong attention to detail, visual analysis skills, and a basic understanding of computer vision concepts, often supported by experience or training in data annotation. Familiarity with annotation tools like Labelbox, VGG Image Annotator, or Supervisely, as well as basic proficiency in using cloud-based platforms, is typically required. Time management, reliability, and effective written communication are crucial soft skills for meeting deadlines and collaborating remotely. These competencies ensure high-quality, accurate datasets essential for training AI models and supporting machine learning projects.
What is freelance remote image annotation?
Freelance remote image annotation involves labeling or tagging elements within images to help train artificial intelligence and machine learning models. As a freelancer, you work from home or any location, using online platforms or specialized software to mark objects, boundaries, or features within digital images according to specific guidelines. This work is essential for industries like autonomous vehicles, healthcare, and e-commerce, as annotated images enable computers to 'see' and understand visual data. Freelance image annotators typically get paid per task or project, offering flexibility and the opportunity to work with multiple clients. Attention to detail, time management, and basic computer skills are important for success in this role.
What are some common challenges faced in freelance remote image annotation, and how can they be managed effectively?
Freelance remote image annotation professionals often face challenges such as maintaining high accuracy under tight deadlines, handling repetitive tasks, and ensuring consistent internet connectivity. Managing these challenges involves developing a strong attention to detail, setting up a distraction-free workspace, and using time management tools to balance multiple projects. Regular communication with project managers and staying updated on annotation guidelines also help ensure quality and efficiency in the role.
What are the most commonly searched types of Remote Image Annotation jobs in Colorado? The most popular types of Remote Image Annotation jobs in Colorado are:
What are popular job titles related to Freelance Remote Image Annotation jobs in Colorado? For Freelance Remote Image Annotation jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Freelance Remote Image Annotation jobs in Colorado look for? The top searched job categories for Freelance Remote Image Annotation jobs in Colorado are:
What cities in Colorado are hiring for Freelance Remote Image Annotation jobs? Cities in Colorado with the most Freelance Remote Image Annotation job openings:
Other
Posted 4 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.
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
- 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
- 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
- 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
- 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