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Remote Ai Language Trainer Jobs in Raleigh, NC (NOW HIRING)

micro1 AI

AI Training Specialist - Chemistry

Cary, NC · Remote

$70 - $90/hr

Remote micro1 is engaging Chemistry Specialists to participate in a project supporting a leading ... training datasets and reasoning capabilities of AI systems. Preferred Qualifications * Advanced ...

micro1 AI

AI Training Specialist - Chemistry

Durham, NC · Remote

$70 - $90/hr

Remote micro1 is engaging Chemistry Specialists to participate in a project supporting a leading ... training datasets and reasoning capabilities of AI systems. Preferred Qualifications * Advanced ...

micro1 AI

AI Training Specialist - Chemistry

Raleigh, NC · Remote

$70 - $90/hr

Remote micro1 is engaging Chemistry Specialists to participate in a project supporting a leading ... training datasets and reasoning capabilities of AI systems. Preferred Qualifications * Advanced ...

Berriehill Research

Senior AI Technologist

Raleigh, NC · On-site +1

$48.75 - $63/hr

... training AI models. You will partner with technical teams to deploy AI solutions in highly ... Design AI solution approaches using existing technologies such as large language models (LLMs ...

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Remote Ai Language Trainer information

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How much do remote ai language trainer jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for remote ai language trainer in Raleigh, NC is $30.37, according to ZipRecruiter salary data. Most workers in this role earn between $19.38 and $34.57 per hour, depending on experience, location, and employer.

What is the difference between Remote Ai Language Trainer vs Remote Language Tutor?

AspectRemote Ai Language TrainerRemote Language Tutor
CredentialsLanguage proficiency, teaching certifications, AI/tech familiarityLanguage proficiency, teaching certifications
Work EnvironmentOnline platforms, AI tools, remote setupOnline platforms, one-on-one or group sessions
Industry UsageEdTech, AI-driven language learning companiesLanguage schools, private tutoring platforms
Search/Comparison IntentFocus on AI integration, tech skillsFocus on traditional language teaching skills

Remote Ai Language Trainers specialize in combining language instruction with AI tools and technology, often working within EdTech companies. In contrast, Remote Language Tutors focus on traditional language teaching methods via online platforms. Both roles require language proficiency and teaching certifications, but the AI Trainer role emphasizes tech skills and AI integration, making it distinct in the evolving online education landscape.

What does a remote AI language trainer do?

As a Remote AI Language Trainer, your day typically involves reviewing and annotating language data, providing feedback on AI-generated text, and creating training materials to improve language models. Work is usually assigned through digital project management platforms, with clear deadlines and guidelines provided by a lead or project manager. You'll collaborate with other trainers and AI engineers via virtual meetings or chat, sharing insights and discussing challenges. Flexibility and self-motivation are important, as you often set your own schedule within the project's framework.

What is a Remote AI Language Trainer?

A Remote AI Language Trainer is a professional who works online to help improve the language skills of artificial intelligence systems. They typically create, review, and correct language data, provide feedback on AI-generated text, and design tasks that teach AI models how to understand and use human language more accurately. This role often involves working with machine learning teams, using specialized software tools, and applying knowledge of linguistics or language teaching. Remote AI Language Trainers play a crucial part in making AI-powered tools, such as chatbots and virtual assistants, more effective and natural in their communication.

What are the key skills and qualifications needed to thrive as a Remote AI Language Trainer, and why are they important?

To thrive as a Remote AI Language Trainer, you need advanced language proficiency, strong analytical abilities, and a background in linguistics or language teaching. Familiarity with annotation tools, language modeling platforms, and sometimes programming languages like Python is often required. Excellent communication, attention to detail, and the ability to work independently are standout soft skills for this role. These skills are crucial for accurately training AI language models and ensuring high-quality, culturally relevant outputs in remote, collaborative environments.

What are the most commonly searched types of Ai Language Trainer jobs in Raleigh, NC?

The most popular types of Ai Language Trainer jobs in Raleigh, NC are:

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For Remote Ai Language Trainer jobs in Raleigh, NC, the most frequently searched job titles are:

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The top searched job categories for Remote Ai Language Trainer jobs in Raleigh, NC are:

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Remote Ai Language Trainer jobs near you
Infographic showing various Remote Ai Language Trainer job openings in Raleigh, NC as of August 2026, with employment types broken down into 74% Full Time, 22% Part Time, and 4% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $63,170 per year, or $30.4 per hour.

AI Training Specialist - Cheminformatics

micro1 AI

Durham, NC • Remote

$80 - $110/hr

Part-time

Posted 12 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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