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Remote Data Annotation Ai Content Writer Jobs in Wareham, MA

... clinical data sources. * Provide expert insights on structure-activity and structure-property ... Experience participating in multidisciplinary and/or remote projects; familiarity with AI-assisted ...

... clinical data sources. * Provide expert insights on structure-activity and structure-property ... Experience participating in multidisciplinary and/or remote projects; familiarity with AI-assisted ...

Remote (US, Canada, UK focused) micro1 is engaging Physics Experts (Postdoc / Junior professor) to ... Exceptional written communication skills with the ability to convey nuanced, constructive feedback ...

Remote (US, Canada, UK focused) micro1 is engaging Physics Experts (Postdoc / Junior professor) to ... Exceptional written communication skills with the ability to convey nuanced, constructive feedback ...

Remote micro1 is engaging Physics Experts (PhD / Postdoc) to contribute deep scientific knowledge ... Produce technically precise, clearly written solutions, detailing all assumptions, approximations ...

Remote micro1 is engaging Physics Experts (PhD / Postdoc) to contribute deep scientific knowledge ... Produce technically precise, clearly written solutions, detailing all assumptions, approximations ...

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a ... No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a ... No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work

Biostatistician

Brockton, MA · Remote

$60 - $65/hr

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a ... No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work

Showing results 41-60

Remote Data Annotation Ai Content Writer information

See Wareham, MA salary details

$14

$42

$104

How much do remote data annotation ai content writer jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for remote data annotation ai content writer in Wareham, MA is $42.58, according to ZipRecruiter salary data. Most workers in this role earn between $24.81 and $48.85 per hour, depending on experience, location, and employer.

How does a remote data annotation AI content writer typically collaborate with machine learning teams?

As a Remote Data Annotation AI Content Writer, you’ll frequently work alongside machine learning engineers and data scientists to ensure that written content is accurately labeled and meets the requirements for AI training datasets. Communication is often conducted through project management tools, virtual meetings, and shared documentation. Close collaboration helps clarify annotation guidelines, resolve ambiguities, and maintain consistency across large volumes of data, which is crucial for building effective AI models. Being proactive in seeking feedback and asking questions is key to success in this remote, collaborative environment.

What are the key skills and qualifications needed to thrive as a remote data annotation AI content writer, and why are they important?

To thrive as a Remote Data Annotation AI Content Writer, you need strong written communication skills, attention to detail, and a solid understanding of AI concepts or data labeling practices, often supported by a relevant bachelor's degree or experience in content creation. Familiarity with data annotation tools, content management systems, and AI platforms such as Labelbox or Prodigy is typically required. Excellent time management, adaptability, and self-motivation are important soft skills for remote work and meeting project deadlines. These skills ensure high-quality, accurate data and content generation, which are critical for effective AI model training and project success.

What is a remote data annotation AI content writer?

A Remote Data Annotation AI Content Writer is a professional who works from a remote location to create, label, or annotate data that helps train artificial intelligence models, particularly those focused on language and content generation. Their tasks often involve reviewing and categorizing content, correcting grammar, tagging text, or generating sample texts that AI systems use to learn and improve. This role requires strong writing skills, attention to detail, and a good understanding of AI and data quality standards. By providing accurately labeled or generated content, these writers play a crucial part in advancing natural language processing and AI applications.

What is the difference between Remote Data Annotation Ai Content Writer vs Remote Content Moderator?

AspectRemote Data Annotation Ai Content WriterRemote Content Moderator
CredentialsBasic writing, data annotation, AI understandingContent policies, communication skills
Work EnvironmentRemote, often flexible hoursRemote, shift-based or flexible hours
Industry UsageAI training, machine learning datasetsSocial media, online platforms
Job FocusCreating annotated data for AI modelsMonitoring and moderating online content

While both roles are remote and involve online work, the Remote Data Annotation Ai Content Writer focuses on creating annotated datasets to train AI systems, requiring writing and data labeling skills. In contrast, the Remote Content Moderator reviews and manages online content to ensure compliance with policies. Both roles support digital platforms but serve different purposes within the tech and social media industries.

What cities near Wareham, MA are hiring for Remote Data Annotation Ai Content Writer jobs?

Cities near Wareham, MA with the most Remote Data Annotation Ai Content Writer job openings:

Bioinformatics Research Scientist - AI Reviewer

micro1 AI

New Bedford, MA • 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.