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Remote Ai Data Annotator Jobs in Rochester, NY (NOW HIRING)

micro1 AI

Senior Corporate Accountant - Remote

Rochester, NY · Remote

$110K - $150K/yr

  • Medical

  • Retirement

  • PTO

Partner with leadership to ensure financial data is audit-ready and decision-ready at all times ... Exposure to AI tools or automated accounting workflows Compensation & Benefits Notice The national ...

micro1 AI

Private Funds Attorney - Remote

Rochester, NY · Remote

$90 - $130/hr

Remote We are seeking seasoned Funds Attorneys for a part-time role at the forefront of legal AI ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

Innovative Solutions

AI Solutions Engineer

Rochester, NY · Remote

$120K - $150K/yr

This can be a remote opportunity, with 2 weeks of travel into Rochester, NY per quarter What this ... Analyze client data landscapes, evaluating data readiness, quality, and accessibility for AI ...

Innovative Solutions

AI Solutions Engineer

Rochester, NY · On-site +1

$120K - $150K/yr

This can be a remote opportunity, with 2 weeks of travel into Rochester, NY per quarter What this ... Analyze client data landscapes, evaluating data readiness, quality, and accessibility for AI ...

micro1 AI

Bioinformatics Software Engineer

Rochester, NY · Remote

$80 - $110/hr

... clinical data sources. * Provide expert insights on structure-activity and structure-property ... Experience participating in multidisciplinary and/or remote projects; familiarity with AI-assisted ...

micro1 AI

Clinical Pharmacy Technicians

Rochester, NY · Remote

$70 - $80/hr

Remote micro1 is engaging Pharmacovigilance Experts to contribute their advanced drug safety ... No prior experience in AI is required -- your domain knowledge is what matters. This opportunity is ...

micro1 AI

Clinical Pharmacy Technicians

Rochester, NY · Remote

$70 - $80/hr

Remote micro1 is engaging Pharmacovigilance Experts to contribute their advanced drug safety ... No prior experience in AI is required -- your domain knowledge is what matters. This opportunity is ...

micro1 AI

Pharmacovigilance Expert

Rochester, NY · Remote

$70 - $80/hr

Remote micro1 is engaging Pharmacovigilance Experts to contribute their advanced drug safety ... No prior experience in AI is required -- your domain knowledge is what matters. This opportunity is ...

micro1 AI

Pharmacovigilance Expert

Rochester, NY · Remote

$70 - $80/hr

Remote micro1 is engaging Pharmacovigilance Experts to contribute their advanced drug safety ... No prior experience in AI is required -- your domain knowledge is what matters. This opportunity is ...

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All JobsAi Data Annotator JobsRemote Ai Data Annotator JobsRemote Ai Data Annotator Jobs in Rochester, NY

Remote Ai Data Annotator information

How to become a remote AI data annotator?

To become a remote AI data annotator, you typically need strong attention to detail, basic computer skills, and the ability to follow specific guidelines. Many positions require no formal degree, but familiarity with tools like annotation platforms and some experience with data labeling can be helpful. Applying through online job boards and demonstrating accuracy and reliability are key steps in securing such roles.

What is the difference between Remote Ai Data Annotator vs Remote Machine Learning Data Labeler?

AspectRemote Ai Data AnnotatorRemote Machine Learning Data Labeler
Required CredentialsBasic computer skills, training in annotation toolsSimilar, often no formal degree required
Work EnvironmentRemote, flexible hours, task-basedRemote, task-based, often part-time
Industry UsageAI, machine learning, autonomous vehicles, healthcareAI, machine learning, computer vision, NLP
Search & Comparison IntentHigh overlap, often compared for entry-level rolesSimilar roles, slightly more specialized in data types

The Remote Ai Data Annotator and Remote Machine Learning Data Labeler roles are quite similar, often requiring basic technical skills and working remotely in AI-related industries. The main difference lies in terminology and specific data types labeled, but both roles serve as entry points into AI data preparation, with overlapping skills and work environments.

What skills and qualifications are needed to thrive as a remote AI data annotator?

To thrive as a Remote AI Data Annotator, you need keen attention to detail, strong analytical skills, and familiarity with data labeling concepts, often supported by a high school diploma or higher. Experience with annotation platforms, data management tools, and sometimes knowledge of scripting languages like Python is valuable. Strong communication, time management, and self-motivation are essential soft skills for meeting deadlines and working independently. These skills ensure high-quality, consistent data annotation, which is crucial for developing accurate AI and machine learning models.

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

Remote AI data annotators often encounter challenges such as maintaining focus during repetitive tasks, ensuring consistent labeling accuracy, and managing effective communication with team members across different time zones. To address these, it's helpful to establish a structured work schedule, use productivity tools to minimize distractions, and actively participate in team meetings or chats to clarify annotation guidelines. Regular feedback sessions and quality checks also play a key role in maintaining high annotation standards and fostering professional growth within the team.

What is a remote AI data annotator?

Remote AI Data Annotators are professionals who label, categorize, or tag data such as images, text, audio, or video to train and improve artificial intelligence (AI) models. They work remotely, often from home, using specialized software to ensure data is accurate and useful for machine learning algorithms. Their work is essential for helping AI systems learn to recognize patterns, make predictions, and perform tasks like image recognition or natural language processing. Annotators must be detail-oriented and follow specific guidelines to ensure the quality and consistency of labeled data.
What are popular job titles related to Remote Ai Data Annotator jobs in Rochester, NY? For Remote Ai Data Annotator jobs in Rochester, NY, the most frequently searched job titles are:
What job categories do people searching Remote Ai Data Annotator jobs in Rochester, NY look for? The top searched job categories for Remote Ai Data Annotator jobs in Rochester, NY are:
What cities near Rochester, NY are hiring for Remote Ai Data Annotator jobs? Cities near Rochester, NY with the most Remote Ai Data Annotator job openings:
Remote Ai Data Annotator jobs near you
Infographic showing various Remote Ai Data Annotator job openings in Rochester, NY as of August 2026, with employment types broken down into 100% Part Time. Highlights an 100% Remote job distribution.

Bioinformatics Research Scientist - AI Reviewer

micro1 AI

Rochester, NY • Remote

$80 - $110/hr

Part-time

Posted 10 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.

Apply