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Remote Annotation Jobs in New York (NOW HIRING)

Network Engineer - Data for Autonomous Systems annotation Type: Contract Compensation: $50-$70/hour Location: Remote Commitment: 30-40 hours/week Role Responsibilities * Review real-world data from ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

Remote Commitment: 15 hours/week Role Responsibilities * Review and annotate U.S. court opinions ... Prior experience in legal data annotation or AI/ML projects . * Familiarity with CourtListener

Remote Role Responsibilities * Guide research teams to close knowledge gaps and improve AI model ... Create and maintain precise annotation standards tailored to Supply Chain and Manufacturing topics.

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Remote Annotation information

See New York salary details

$16

$30

$41

How much do remote annotation jobs pay per hour?

As of Jun 14, 2026, the average hourly pay for remote annotation in New York is $30.28, according to ZipRecruiter salary data. Most workers in this role earn between $23.65 and $36.30 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Remote Annotation position, and why are they important?

To thrive in a Remote Annotation role, you need meticulous attention to detail, strong analytical skills, and the ability to quickly learn and apply specific data-labeling guidelines. Familiarity with annotation tools such as Labelbox, Supervisely, or CVAT and, in some cases, basic knowledge of machine learning concepts or relevant certifications are valuable. Excellent written communication, time management, and the capacity to work independently make a candidate stand out. These abilities ensure high-quality, consistent data labeling crucial for the success of AI and machine learning projects.

What are some common challenges faced by remote annotation professionals?

Remote annotation professionals often encounter challenges such as interpreting ambiguous data, maintaining consistency with guidelines, and managing repetitive tasks without direct supervision. Working remotely also means you need to stay self-motivated and disciplined while communicating clearly with project managers and team members through digital platforms. Adapting to updates in annotation protocols or tool changes can require flexibility and ongoing learning. However, overcoming these challenges can help you develop a highly sought-after skill set and pave the way for advancement into roles such as quality assurance or data analyst positions within the machine learning field.

What is a Remote Annotation job?

A Remote Annotation job involves labeling or tagging data, such as images, text, audio, or video, to help train machine learning models. Annotators follow specific guidelines to ensure accuracy and consistency in the data. This work is typically done from home using specialized annotation tools provided by companies or platforms. It is commonly used in AI development, including natural language processing, computer vision, and autonomous systems.

What are the most commonly searched types of Annotation jobs in New York? The most popular types of Annotation jobs in New York are:
What are popular job titles related to Remote Annotation jobs in New York? For Remote Annotation jobs in New York, the most frequently searched job titles are:
What cities in New York are hiring for Remote Annotation jobs? Cities in New York with the most Remote Annotation job openings:
Infographic showing various Remote Annotation job openings in New York as of June 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 100% Remote job distribution, with an average salary of $62,975 per year, or $30.3 per hour.

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

Alignerr

Manhattan, NY โ€ข Remote

Other

Posted 9 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 next-generation AI? We're looking for a Senior C# Full-Stack Engineer to build and optimize the systems that leading AI labs depend on - from data pipelines and annotation tooling to evaluation infrastructure that influences how frontier models are trained and assessed.
This is a fully remote contract role with meaningful technical challenges, real production impact, and the flexibility to work on your own terms.
  • 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 full-stack tooling and backend services for data annotation, validation, and quality control at scale
  • 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 reviews to iterate on architecture and implementation decisions
Who You Are
  • Native or fluent English speaker with strong written and verbal communication skills
  • Experienced full-stack developer with a solid systems programming foundation
  • 3-5+ years of professional experience writing production C# code, with command of modern standards
  • Deep understanding of performance optimization, concurrency (threading, atomics), and memory safety (RAII, smart pointers, sanitizers)
  • Able to commit 20-40 hours per week with reliability and consistency
  • Self-directed and comfortable working in fast-moving, async-first environments
Nice to Have
  • Prior experience with data annotation pipelines, data quality systems, or evaluation infrastructure
  • Familiarity with AI/ML workflows, model training loops, or benchmarking pipelines
  • Experience building distributed systems or developer tooling at scale
Why Join Us
  • Work directly with leading AI labs on systems that influence how frontier models are built
  • Tackle genuinely hard engineering problems - not maintenance tickets
  • Fully remote and flexible - structure your week around your best work
  • Freelance autonomy with the substance of high-impact engineering work
  • Potential for ongoing contracts and expanded scope as projects grow