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Remote Ai Training Jobs in Silver Spring, MD (NOW HIRING)

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Remote Ai Training information

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How much do remote ai training jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for remote ai training in Silver Spring, MD is $43.64, according to ZipRecruiter salary data. Most workers in this role earn between $28.85 and $55.67 per hour, depending on experience, location, and employer.

What are some typical challenges faced in remote AI training and how can they be addressed?

One common challenge in Remote AI Training roles is maintaining consistent data quality while managing repetitive tasks independently. To address this, professionals use standardized guidelines, periodic feedback sessions, and collaborative review processes. Remote work also requires strong self-motivation and regular communication with team members to resolve ambiguities or receive updates on project requirements. Employers often provide training sessions and set up digital tools to keep collaboration smooth, ensuring productivity and accuracy across distributed teams.

What is a remote AI training?

A Remote AI Training job involves labeling, annotating, and evaluating data to help improve machine learning models. Workers in this role often review AI-generated responses, assess accuracy, and provide feedback to enhance AI performance. The job is typically done online and requires attention to detail, critical thinking, and familiarity with AI tools. Many companies hire remote AI trainers to refine chatbots, search engines, and other AI-driven applications.

What are the key skills and qualifications needed to thrive in remote AI training?

To thrive in Remote AI Training, you need a solid understanding of machine learning concepts, data annotation techniques, and attention to detail, often supported by relevant coursework or experience in data science or computer science. Familiarity with labeling platforms, data management tools, and sometimes certification in AI-related fields is typically expected. Strong communication, time management, and the ability to work independently are vital soft skills in this remote setting. These skills ensure high-quality, accurate training data for AI models while maintaining productivity and collaboration with distributed teams.

What are the most commonly searched types of Ai Training jobs in Silver Spring, MD? The most popular types of Ai Training jobs in Silver Spring, MD are:
What are popular job titles related to Remote Ai Training jobs in Silver Spring, MD? For Remote Ai Training jobs in Silver Spring, MD, the most frequently searched job titles are:
What job categories do people searching Remote Ai Training jobs in Silver Spring, MD look for? The top searched job categories for Remote Ai Training jobs in Silver Spring, MD are:
What cities near Silver Spring, MD are hiring for Remote Ai Training jobs? Cities near Silver Spring, MD with the most Remote Ai Training job openings:
Infographic showing various Remote Ai Training job openings in Silver Spring, MD as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, and 2% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $90,765 per year, or $43.6 per hour.

Digital Chemistry Specialist - Remote

micro1 AI

Alexandria, VA โ€ข Remote

$90 - $120/hr

Part-time

Posted 12 days ago


Job description

Role Title: Bioinformatics Scientist


Role Type: Contractor


Location: Remote


micro1 is engaging Bioinformatics Scientists to contribute their specialized expertise to a customer's innovative 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 โ€” your domain knowledge is what matters.


Scope of Work

  1. Analyze complex datasets related to medicinal chemistry using advanced bioinformatics methodologies.
  2. Provide detailed scientific input and content to support the development and training of AI models.
  3. Curate, annotate, and validate datasets relevant to drug discovery and molecular analysis.
  4. Evaluate and synthesize findings from biological, chemical, and clinical data sources.
  5. Offer subject matter expertise on experimental design and data interpretation within medicinal chemistry.
  6. Assess AI-generated outputs for scientific accuracy, relevance, and reliability.
  7. Deliver comprehensive written feedback and actionable recommendations for model improvement.


Preferred Qualifications

  1. Advanced degree (e.g., PhD or MSc) in Bioinformatics, Computational Biology, Medicinal Chemistry, or a related discipline.
  2. In-depth knowledge of medicinal chemistry concepts, including structure-activity relationships and drug design principles.
  3. Demonstrated experience in handling and interpreting large-scale omics or cheminformatics datasets.
  4. Familiarity with software tools, databases, and programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME).
  5. Strong scientific communication skills, with the ability to clearly articulate complex ideas and technical concepts.
  6. Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science.
  7. Experience collaborating in multidisciplinary or remote project environments is advantageous.