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Ai Data Annotation Remote Jobs in Spring Valley, NY

Contractor Location: Remote About the Role We are looking for experienced data scientists and ... Evaluate AI outputs across data science, statistics, ML, and quantitative problems. * Create expert ...

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Ai Data Annotation Remote information

What is an AI data annotation remote?

An AI Data Annotation Remote job involves labeling, tagging, or categorizing data used to train artificial intelligence models. Annotators work with text, images, audio, or video to ensure machine learning algorithms receive accurate and high-quality input. This role is performed remotely, allowing flexibility in work location and schedule. Attention to detail, consistency, and familiarity with annotation tools are essential skills for this job.

What does a typical day look like for someone working remotely in AI data annotation?

A typical day for a remote AI Data Annotation worker involves reviewing and labeling various types of data such as images, text, or audio according to specific guidelines provided by the employer or project lead. You may use specialized annotation software and work through batches of data while following quality standards and deadlines. Periodic team check-ins or virtual meetings help clarify instructions, address questions, and monitor progress. While most of the work is independent, communication with supervisors or quality assurance teams is important to ensure that data labeling is consistent and accurate.

What are the key skills and qualifications needed to thrive in the AI data annotation remote position, and why are they important?

To thrive as an AI Data Annotation Remote worker, you need strong attention to detail, familiarity with data labeling processes, and a basic understanding of machine learning concepts, often supported by a high school diploma or relevant experience. Familiarity with data annotation platforms such as Labelbox, Supervisely, or AWS SageMaker Ground Truth is typically required, and certifications in data annotation or AI may be advantageous. Strong time management, the ability to work independently, and clear communication skills are valuable in this remote role. These abilities ensure accurate and efficient data labeling, which is critical for training reliable AI models.

What job categories do people searching Ai Data Annotation Remote jobs in Spring Valley, NY look for?

The top searched job categories for Ai Data Annotation Remote jobs in Spring Valley, NY are:

What cities near Spring Valley, NY are hiring for Ai Data Annotation Remote jobs?

Cities near Spring Valley, NY with the most Ai Data Annotation Remote job openings:

Infographic showing various Ai Data Annotation Remote job openings in Spring Valley, NY as of June 2026, with employment types broken down into 60% Full Time, 19% Part Time, 10% Temporary, and 11% Contract. Highlights an 100% Remote job distribution.

COBOL Developer - Remote

YO AI Labs

New York, NY โ€ข Remote

$100 - $150/hr

Full-time

Posted 7 days ago


Job description

COBOL Developer – Remote

Role Type: Contractor
Location: Remote

Role Overview

We are seeking experienced COBOL Developers to contribute their expertise to a high-impact customer project focused on training and improving next-generation AI systems. In this role, you will apply your deep knowledge of COBOL, mainframe environments, and legacy systems to evaluate technical content, document business logic, and provide expert feedback.

No prior AI experience is required—your COBOL and mainframe expertise is what matters most.

Key Responsibilities
  • Analyze and interpret existing COBOL codebases, workflows, and business logic.
  • Develop clear and accurate documentation of COBOL programs, system processes, and technical requirements.
  • Review and evaluate COBOL code, pseudocode, and project scenarios for accuracy and completeness.
  • Identify edge cases, ambiguities, potential defects, and areas requiring clarification.
  • Annotate COBOL scripts and technical content to support the development of high-quality AI training datasets.
  • Design and review test cases and scenarios representing real-world COBOL and mainframe applications.
  • Provide expert guidance on legacy system architecture, integrations, and dependencies.
  • Collaborate with project coordinators and technical experts through clear written and verbal communication.
  • Ensure all submitted technical materials meet high standards of accuracy, consistency, and completeness.
  • Support projects involving legacy-system modernization, migration, integration, or transformation where applicable.
Required Qualifications
  • Proven professional experience as a COBOL Developer or Mainframe Developer.
  • Strong proficiency in COBOL programming and legacy application environments.
  • Experience working with mainframe systems and related technologies.
  • Strong understanding of complex legacy codebases, business rules, and system workflows.
  • Excellent analytical and problem-solving skills.
  • Ability to explain complex technical concepts clearly and accurately.
  • Strong technical writing and documentation skills.
  • Exceptional attention to detail.
  • Ability to work independently and manage multiple deliverables in a remote environment.
Preferred Qualifications
  • Experience with large-scale mainframe migration, modernization, or integration projects.
  • Familiarity with JCL, DB2, CICS, VSAM, or other common mainframe technologies.
  • Experience reviewing or documenting legacy enterprise applications.
  • Experience creating technical test scenarios or validating business logic.
  • Experience working with distributed or remote technical teams.
  • Prior experience contributing domain expertise to AI, data, or machine-learning projects is a plus, but not required.
Skills
  • COBOL
  • Mainframe Development
  • Legacy Systems
  • JCL
  • DB2
  • CICS
  • VSAM
  • Code Analysis
  • Technical Documentation
  • Business Logic Analysis
  • Test Case Design
  • Problem Solving
  • Attention to Detail
  • Technical Communication
  • Remote Collaboration