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Freelance Ai Data Annotation Jobs (NOW HIRING)

Sunday

Data Annotation Lead

Redwood City, CA · On-site

Responsibilities : • Build a data annotation team • Manage the people side of data annotations ... Sunday is a robotics startup that builds home robots that utilize AI to assist with household tasks.

Sunday Inc

Data Annotation Lead

Redwood City, CA · On-site

This role is about building and leading a world class in-house data annotation team that is able to ... Ability to leverage AI to help improve productivity At Sunday Robotics, we're building technology ...

New

Abaka AI

Quality Project Associate

Mountain View, CA · On-site

Responsibilities : • Build and improve quality assurance and compliance systems across AI data annotation projects • Design quality standards, review processes, escalation workflows, and ...

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Freelance Ai Data Annotation information

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How much do freelance ai data annotation jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for freelance ai data annotation in the United States is $20.27, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $22.36 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Freelance AI Data Annotator, and why are they important?

To thrive as a Freelance AI Data Annotator, you need strong attention to detail, basic computer literacy, and familiarity with data labeling concepts, often supported by a high school diploma or equivalent. Experience with annotation platforms, labeling tools, and sometimes knowledge of spreadsheet software or project management systems is typically required. Reliability, time management, and effective communication are standout soft skills for meeting project deadlines and collaborating with remote teams. These skills are crucial for ensuring high-quality, accurate data annotations that directly impact the performance of AI models.

What are some common challenges faced by freelance AI data annotators, and how can they be addressed?

Freelance AI data annotators often encounter challenges such as maintaining consistency in labeling, meeting tight deadlines, and managing repetitive tasks. To address these, it's important to thoroughly understand the project guidelines, seek clarification from clients when needed, and use annotation tools efficiently. Regular communication with project managers and participating in quality checks can also help ensure accuracy and smooth workflow. Building a routine and taking short breaks can reduce fatigue and improve focus.

What does a Freelance AI Data Annotation job involve?

A Freelance AI Data Annotation job involves labeling, tagging, or categorizing data to train artificial intelligence models. This can include tasks like identifying objects in images, transcribing audio, or classifying text. Annotators follow specific guidelines to ensure consistency and accuracy so that the AI can learn from high-quality, well-labeled datasets. These jobs are typically remote, flexible, and can be project-based, making them popular for freelancers. Attention to detail and the ability to follow instructions are key skills for success in this role.

What is the difference between Freelance Ai Data Annotation vs Freelance Data Labeler?

AspectFreelance Ai Data AnnotationFreelance Data Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexibleRemote, flexible
Industry UsageAI and machine learning projectsData organization and categorization
Job FocusAnnotating data for AI trainingLabeling data for various purposes

Freelance Ai Data Annotation involves preparing data specifically for AI models, often requiring understanding of annotation tools. Freelance Data Labeler may perform similar tasks but can include broader data labeling roles. Both roles are remote, flexible, and essential for data-driven industries, but Ai Data Annotation is more specialized for AI development projects.

More about Freelance Ai Data Annotation jobs
What cities are hiring for Freelance Ai Data Annotation jobs? Cities with the most Freelance Ai Data Annotation job openings:
What are the most commonly searched types of Ai Data Annotation jobs? The most popular types of Ai Data Annotation jobs are:
What states have the most Freelance Ai Data Annotation jobs? States with the most job openings for Freelance Ai Data Annotation jobs include:
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Freelance Ai Data Annotation jobs near you
Infographic showing various Freelance Ai Data Annotation job openings in the United States as of May 2026, with employment types broken down into 3% Internship, 3% Full Time, and 94% Part Time. Highlights an 46% Physical, 1% Hybrid, and 53% Remote job distribution, with an average salary of $42,153 per year, or $20.3 per hour.

Senior C# Full-Stack Engineer - AI Data & Infrastructure

Alignerr

Seattle, WA • Remote

Other

Posted 4 days ago

Job description

Senior C# Full-Stack Engineer - AI Data & Infrastructure
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 C# Full-Stack Engineer to build and optimize the data pipelines, annotation tooling, and evaluation systems that leading AI labs depend on every day.
This is a fully remote contract role with meaningful technical depth and real production impact. You'll work alongside data, research, and engineering teams at the frontier of AI development - solving hard problems 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 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 bottlenecks and edge cases in data and system behavior - then implement scalable, production-ready fixes
  • Participate in synchronous design and code reviews to iterate on system architecture and implementation decisions
Who You Are
  • Native or fluent English speaker with clear written and verbal communication skills
  • Experienced full-stack developer with a strong systems programming background
  • 3-5+ years of professional experience writing production C# with a focus on modern standards
  • Deep understanding of performance optimization, concurrency (threading, atomics), and memory safety
  • Self-directed and reliable - able to commit 20-40 hours per week and deliver without hand-holding
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 in C++17/C++20 or other systems-level languages
Why Join Us
  • Work on real production systems used by leading AI research labs
  • Fully remote - work from anywhere, on a schedule that suits you
  • Freelance autonomy with the structure of impactful, technically demanding work
  • Contribute to infrastructure that directly influences how next-generation AI models are built and evaluated
  • Potential for ongoing work and contract extension as new projects launch

Apply