1

Overnight Ai Training Writer Jobs in Decatur, GA

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work ... Exceptional written communication skills with the ability to convey nuanced, constructive feedback ...

Write clear, self-contained test scenarios (including edge cases) for failed criteria, with ... AI or technology-driven tax content. * Background in training teams or giving written feedback on ...

Write clear, self-contained test scenarios (including edge cases) for failed criteria, with ... AI or technology-driven tax content. * Background in training teams or giving written feedback on ...

next page

Showing results 1-20

Overnight Ai Training Writer information

See Decatur, GA salary details

$13

$38

$64

How much do overnight ai training writer jobs pay per hour?

As of Aug 26, 2026, the average hourly pay for overnight ai training writer in Decatur, GA is $38.02, according to ZipRecruiter salary data. Most workers in this role earn between $28.17 and $46.01 per hour, depending on experience, location, and employer.

What is an overnight AI training writer?

An Overnight AI Training Writer is a professional who creates, reviews, or edits written content used to train artificial intelligence models during overnight shifts. Their responsibilities often include generating high-quality text data, evaluating AI outputs, and ensuring that training materials meet specific guidelines. Working overnight allows companies to maintain 24/7 progress on AI development, making this role vital in fast-paced tech environments. These writers typically have strong language skills, attention to detail, and familiarity with AI or machine learning concepts.

What are the key skills and qualifications needed to thrive as an overnight AI training writer?

To thrive as an Overnight AI Training Writer, you need excellent writing and editing skills, strong attention to detail, and a background in linguistics, communications, or a related field. Familiarity with AI training platforms, content management systems, and tools like annotation software is typically required. Adaptability, time management, and clear communication are crucial soft skills to meet tight deadlines and collaborate effectively with remote teams. These skills ensure high-quality data generation and annotation, which directly impact the performance and reliability of AI models.

What are some common challenges faced by overnight AI training writers, and how can they be addressed?

Overnight AI Training Writers often work independently during late hours, which can present challenges such as maintaining productivity and staying engaged without direct supervision. Additionally, they must ensure their writing is clear, unbiased, and aligned with specific AI training guidelines, often adapting to quickly changing project requirements. Effective time management, strong communication with remote team members, and setting up a comfortable, distraction-free work environment can help address these challenges. Utilizing regular check-ins and feedback loops with supervisors or fellow writers is also helpful for maintaining quality and motivation.

What job categories do people searching Overnight Ai Training Writer jobs in Decatur, GA look for?

The top searched job categories for Overnight Ai Training Writer jobs in Decatur, GA are:

What cities near Decatur, GA are hiring for Overnight Ai Training Writer jobs?

Cities near Decatur, GA with the most Overnight Ai Training Writer job openings:

Infographic showing various Overnight Ai Training Writer job openings in Decatur, GA as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 18% Part Time, and 1% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $79,084 per year, or $38 per hour.

AI Training Specialist - Cheminformatics

South Fulton, GA • Remote

micro1 AI
Software Development • 11 - 50 employees

$80 - $110/hr

Part-time

Posted 23 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.