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Remote Data Annotation Specialist Jobs in Rochester, NY

Ability to analyze data and technical trends, articulating findings. About Webbing Founded in early ... specialists in an international environment. * Fully remote role. * Medical benefits. #LI-HT1

Rochester, NY; or Remote Opportunity Job Schedule: 9/80: Employees work 9 out of every 14 days ... Familiarity working from computer-aided design (CAD) data or engineering models as source material ...

... data, applications, and decisions must always be secure, reliable, and available. We enable ... specialists in an international environment. * Fully remote role. * Medical benefits. #LI-HT1

Remote micro1 is engaging Pharmacovigilance Experts to contribute their advanced drug safety ... Author and review evaluation tasks based on DSURs, PSURs/PBRERs, and associated safety data and ...

Monitor SIM usage, data consumption, and service trends. * Coordinate operational requests with ... specialists in an international environment. * Fully remote role * Medical benefits

CSM Team Lead

York, NY · On-site +1

Ability to analyse customer usage trends and translate data into actionable business insights ... specialists in an international environment. * Fully remote role * Medical benefits

Remote micro1 is engaging Medical Writers / Clinical Document Authors to participate in a customer ... source data. * Exceptional written and verbal communication skills, especially in providing ...

Epic Denials Management Operator

Rochester, NY · Remote

$17.75 - $23.75/hr

This is a primarily remote role supporting enterprise Epic support, with minimal travel and ... Experience analyzing billing workflows, claim issues, or operational data The wage range for this ...

Showing results 21-40

Remote Data Annotation Specialist information

See Rochester, NY salary details

$27.6K

$72K

$86.8K

How much do remote data annotation specialist jobs pay per year?

As of Aug 14, 2026, the average yearly pay for remote data annotation specialist in Rochester, NY is $71,974.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,300.00 and $85,800.00 per year, depending on experience, location, and employer.

What skills and qualifications are needed to thrive as a remote data annotation specialist?

To thrive as a Remote Data Annotation Specialist, you need strong attention to detail, familiarity with data labeling guidelines, and a basic understanding of data structures, often supported by a high school diploma or relevant training. Experience with annotation platforms, data management tools, and sometimes basic scripting languages is typically required. Excellent time management, communication skills, and the ability to work independently help individuals excel in this remote role. These skills ensure high-quality, consistent, and efficient data labeling, which is critical for training accurate machine learning models.

What challenges do remote data annotation specialists face, and how can they be managed?

Remote Data Annotation Specialists often encounter challenges such as maintaining focus during repetitive tasks, ensuring consistency across large datasets, and managing tight deadlines. To overcome these, it's helpful to establish a structured work schedule, take regular breaks, and utilize annotation guidelines provided by the employer. Collaborative tools and periodic check-ins with team leads or peers can also help clarify questions and maintain quality standards, ensuring annotation accuracy and productivity.

What is a remote data annotation specialist?

Remote Data Annotation Specialists are professionals who label, tag, or categorize data—such as images, text, audio, or video—for use in machine learning and artificial intelligence projects. They work remotely, using specialized software tools to ensure data is accurately annotated according to project guidelines. Their work helps improve the performance of AI systems by providing high-quality, labeled datasets that algorithms can learn from. This role often requires attention to detail, basic technical skills, and the ability to follow instructions carefully.

What is the difference between Remote Data Annotation Specialist vs Remote Data Labeler?

AspectRemote Data Annotation SpecialistRemote Data Labeler
CredentialsHigh school diploma or equivalent; attention to detailHigh school diploma or equivalent; attention to detail
Work EnvironmentRemote, often part of AI/ML teamsRemote, typically freelance or contract-based
Industry UsageAI, machine learning, autonomous vehiclesAI, machine learning, computer vision
Common Search IntentUnderstanding roles, job requirements, and career pathFinding entry-level or freelance annotation jobs

The Remote Data Annotation Specialist and Remote Data Labeler roles both involve labeling data for AI and machine learning projects. However, the Specialist often performs more complex annotations and may work within a team, while the Labeler typically handles simpler tasks independently. Both roles require attention to detail and are common in AI industries, but the Specialist may have more responsibilities and slightly higher skill expectations.

What are the most commonly searched types of Data Annotation Specialist jobs in Rochester, NY?

The most popular types of Data Annotation Specialist jobs in Rochester, NY are:

What are popular job titles related to Remote Data Annotation Specialist jobs in Rochester, NY?

For Remote Data Annotation Specialist jobs in Rochester, NY, the most frequently searched job titles are:

What job categories do people searching Remote Data Annotation Specialist jobs in Rochester, NY look for?

The top searched job categories for Remote Data Annotation Specialist jobs in Rochester, NY are:

What cities near Rochester, NY are hiring for Remote Data Annotation Specialist jobs?

Cities near Rochester, NY with the most Remote Data Annotation Specialist job openings:

Infographic showing various Remote Data Annotation Specialist job openings in Rochester, NY as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $71,974 per year, or $34.6 per hour.

AI Training Specialist - Cheminformatics

micro1 AI

Rochester, NY • Remote

$80 - $110/hr

Part-time

Posted 11 days ago


Job description

Role Title: Computational Biology & Cheminformatics Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer’s computational drug discovery project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods.
  2. Curate, annotate, and validate chemical and biological datasets (e.g., ChEMBL, PubChem, DrugBank) to support AI-driven discovery platforms.
  3. Evaluate compound-target interactions, ADMET properties, and lead optimization strategies by integrating chemical, biological, and clinical data sources.
  4. Provide expert insights on structure-activity and structure-property relationships (SAR/SPR), medicinal chemistry approaches, and experimental design considerations.
  5. Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect realistic computational drug discovery scenarios.
  6. Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure task correctness and solvability.
  7. Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance, delivering detailed written feedback and recommendations.


Preferred Qualifications

  1. Advanced expertise in Computational Biology, Cheminformatics, Medicinal Chemistry, Biochemistry, or related fields; advanced degree (PhD, MSc, PharmD) highly valued but not strictly required.
  2. Strong coding proficiency in Python (beyond analysis scripts), with hands-on experience building tools, pipelines, or testable code; familiarity with Git, GitHub, and Docker.
  3. Extensive experience with cheminformatics toolkits and platforms such as RDKit, KNIME, Schrödinger, OpenEye, or MOE.
  4. Proven track record in small-molecule drug discovery, SAR/QSAR evaluation, ADMET prediction, or virtual screening workflows.
  5. Comfort working with public chemical and bioactivity databases and integrating diverse datasets for scientific analysis.
  6. Demonstrated ability to clearly communicate complex chemical and biological concepts in written feedback and reports.
  7. Experience participating in multidisciplinary and/or remote projects; familiarity with AI-assisted coding tools is a plus.