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Overnight Remote Ai Training Jobs in Rochester, NY

micro1 AI

AI Training Specialist - Physics

Rochester, NY · On-site +1

$80 - $150/hr

Remote (US, Canada, UK focused) micro1 is engaging Physics Experts (Postdoc / Junior professor) to ... No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work

micro1 AI

Tax (SALT) AI Training Specialist

Rochester, NY · Remote

$20 - $30/hr

Remote Job Summary: You'll use your tax expertise to help train next-generation AI systems. The ... Background in training teams or giving written feedback on legal/tax language. * Interest in the ...

micro1 AI

AI Training Expert - US Tax Law

Rochester, NY · Remote

$65 - $70/hr

Remote Job Summary: You'll use your tax expertise to help train next-generation AI systems. The ... Background in training teams or giving written feedback on legal/tax language. * Interest in the ...

DataAnnotation

M&A Associate - AI Trainer

Rochester, NY · Remote

$50 - $100/hr

Enjoy the flexibility of remote work and the freedom to set your own schedule. This is an ... To succeed in this position, you should have expert-level financial reasoning and formal training ...

DataAnnotation

FP&A Manager - AI Trainer

Rochester, NY · Remote

$50 - $100/hr

Enjoy the flexibility of remote work and the freedom to set your own schedule. This is an ... To succeed in this position, you should have expert-level financial reasoning and formal training ...

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Overnight Remote Ai Training information

What is an overnight remote AI training?

An Overnight Remote AI Training job typically involves working from home during nighttime hours to help train artificial intelligence models. This might include tasks like labeling data, reviewing AI-generated content, or providing feedback to improve machine learning algorithms. The work is often flexible and can be done from anywhere with an internet connection. These roles are important in helping AI systems become more accurate and effective, especially for companies that operate globally and require around-the-clock data processing.

What are the key skills and qualifications needed to thrive as an overnight remote AI trainer?

To thrive as an Overnight Remote AI Trainer, you need strong analytical skills, attention to detail, and a solid understanding of AI concepts, often supported by a degree in computer science or a related field. Familiarity with data labeling tools, annotation platforms, and collaboration software is typically required, as well as experience with AI training workflows. Excellent communication, self-motivation, and time management skills help you excel in an independent, remote setting. These abilities ensure the accurate preparation of high-quality data essential for effective AI model development and deployment.

What are the typical challenges faced by overnight remote AI training specialists, and how can they be managed?

Overnight remote AI training specialists often face challenges such as maintaining focus during late hours, managing communication delays with daytime teams, and ensuring the quality of data labeling or model feedback. To manage these, it’s important to establish a structured routine, use tools that facilitate asynchronous collaboration, and participate in regular check-ins with supervisors or peers. Adhering to clear documentation practices and setting up a dedicated, distraction-free workspace can also help maintain productivity and ensure effective handoffs between shifts.

What is the difference between Overnight Remote Ai Training vs Data Labeler?

AspectOvernight Remote Ai TrainingData Labeler
CredentialsBasic technical skills, sometimes certifications in AI or machine learningNone typically required, training provided
Work EnvironmentRemote, flexible hours, often overnight shiftsRemote or on-site, flexible or part-time shifts
Industry UsageAI development, machine learning projectsData preparation for AI and ML models
Job FocusTraining AI models through data input and adjustmentsLabeling and annotating data for AI training

Overnight Remote Ai Training involves training AI models by providing data and adjustments, often requiring some technical knowledge. Data Labelers focus on annotating data to prepare it for AI systems, usually with minimal technical skills. Both roles are remote and support AI development, but they differ in technical complexity and daily tasks.

Are there remote jobs to train AI?

Yes, remote AI training jobs are available and often involve tasks such as data labeling, annotation, and model evaluation. These roles typically require strong attention to detail, familiarity with AI tools, and sometimes specific certifications or software skills. They are commonly offered on flexible schedules and can be found through various online job platforms.

What are the most commonly searched types of Remote Ai Training jobs in Rochester, NY?

The most popular types of Remote Ai Training jobs in Rochester, NY are:

What cities near Rochester, NY are hiring for Overnight Remote Ai Training jobs?

Cities near Rochester, NY with the most Overnight Remote Ai Training job openings:

Overnight Remote Ai Training jobs near you

AI Training Specialist - Cheminformatics

micro1 AI

Rochester, NY • Remote

$80 - $110/hr

Part-time

Posted 21 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.

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