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Ai Writing Tester Jobs in Georgia (NOW HIRING)

InterSources Inc

Manual Tester

Atlanta, GA · On-site

... written and verbal. • Ability to work independently and as part of a team in a fast-paced ... InterSources Inc. solves operational problems where protection, performance, compliance, AI, and ...

Varsity Tutors

Technical Writing Tutor

Alpharetta, GA · Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Adapts instruction using real-world document projects, peer usability testing, and style guide ...

Varsity Tutors

Technical Writing Tutor

Carrollton, GA · Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Adapts instruction using real-world document projects, peer usability testing, and style guide ...

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Ai Writing Tester information

What is an AI writing tester?

An AI Writing Tester evaluates the quality, accuracy, and coherence of AI-generated text. They review content for grammar, readability, and logical flow while providing feedback to improve the AI's performance. This role may involve testing different writing styles, detecting biases, and ensuring the AI produces human-like responses. Strong language skills and attention to detail are essential for success in this position.

What types of projects or writing samples will I review as an AI writing tester?

As an AI Writing Tester, you will review a wide range of AI-generated writing, including articles, product descriptions, social media posts, and email drafts, depending on the company's products and clientele. Your responsibilities typically involve evaluating the content for clarity, grammatical accuracy, coherence, and alignment with client guidelines or brand voice. You may also provide detailed feedback to developers or content teams and occasionally collaborate on refining prompt templates. Expect to work both independently and as part of cross-functional teams in a mix of test cycles, quality audits, and collaborative improvement initiatives.

What are the key skills and qualifications needed to thrive as an AI writing tester?

To thrive as an AI Writing Tester, you need excellent written communication skills, analytical thinking, and a background in language or content evaluation, often paired with a bachelor’s degree in English, linguistics, or a related field. Familiarity with AI-driven writing platforms, bug-tracking tools, and content management systems is highly beneficial, and certifications in technical writing or natural language processing may offer an advantage. Attention to detail, curiosity, and strong problem-solving abilities are standout soft skills for this role. These qualities enable testers to accurately identify issues, provide constructive feedback, and ensure the quality and relevance of AI-generated content.

How do I become an AI Writing Tester?

To become an AI Writing Tester, candidates typically need strong writing skills, attention to detail, and familiarity with AI language models. Relevant experience in content creation, editing, or testing software tools can be beneficial, and some roles may require knowledge of programming or data annotation. Building a portfolio of writing samples and understanding AI technology can improve chances of entry.

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Ai Writing Tester jobs near you
Infographic showing various Ai Writing Tester job openings in Georgia as of August 2026, with employment types broken down into 75% Full Time, 20% Part Time, 1% Temporary, and 4% Contract. Highlights an 67% Physical, 4% Hybrid, and 29% Remote job distribution.

AI Training Specialist - Cheminformatics

micro1 AI

Macon, GA • Remote

$80 - $110/hr

Part-time

This job post has expired 3 days ago. Applications are no longer accepted.

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