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Remote Ai Tasker Jobs in Arizona (NOW HIRING)

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... task correctness and solvability. * Assess and review AI-generated outputs for scientific rigor ...

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... task correctness and solvability. * Assess and review AI-generated outputs for scientific rigor ...

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... task correctness and solvability. * Assess and review AI-generated outputs for scientific rigor ...

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... task correctness and solvability. * Assess and review AI-generated outputs for scientific rigor ...

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... task correctness and solvability. * Assess and review AI-generated outputs for scientific rigor ...

No prior AI experience is required--your clinical expertise and domain knowledge are what matter ... Author and review clinical evaluation tasks requiring advanced oncology and hematology expertise.

Clinicia Expert - Remote

Phoenix, AZ · Remote

$150 - $200/hr

No prior AI experience is required--your clinical expertise and domain knowledge are what matter ... Author and review clinical evaluation tasks requiring advanced oncology and hematology expertise.

Oncology Expert - Remote

Phoenix, AZ · Remote

$150 - $200/hr

No prior AI experience is required--your clinical expertise and domain knowledge are what matter ... Author and review clinical evaluation tasks requiring advanced oncology and hematology expertise.

No prior AI experience is required--your engineering and CAD expertise are what matter most. Key ... Preferred Qualifications * 4+ years of hands-on parametric CAD experience for editing tasks and 10+ ...

Showing results 41-60

Remote Ai Tasker information

What skills and qualifications are needed to thrive as a remote AI tasker?

To thrive as a Remote AI Tasker, you need strong analytical skills, attention to detail, and the ability to follow complex instructions, usually supported by a high school diploma or higher education. Familiarity with data annotation platforms, AI training tools, and workflow management systems is often required. Excellent communication, time management, and self-motivation are standout soft skills for remote collaboration and consistent productivity. These skills ensure high-quality data labeling and efficient support of AI development projects in a distributed work environment.

What is the difference between Remote Ai Tasker vs Data Annotator?

AspectRemote Ai TaskerData Annotator
CredentialsBasic computer skills, training in AI toolsBasic computer skills, sometimes specialized in annotation tools
Work EnvironmentRemote, flexible hoursRemote or onsite, flexible hours
Industry UsageAI development, machine learning projectsMachine learning, AI training datasets
Job FocusPerforming specific AI-related tasks like data labeling or testingLabeling, tagging, and annotating data for AI models

Remote Ai Taskers and Data Annotators both work remotely in AI-related fields, often performing data labeling and testing tasks. However, Remote Ai Taskers may handle a broader range of AI-specific tasks, while Data Annotators primarily focus on data labeling and annotation. Both roles require similar skills and are essential for training AI models, making them closely related in the AI industry.

What are common challenges faced by remote AI taskers, and how can they be managed?

Remote AI Taskers often face challenges such as managing tight deadlines, handling repetitive tasks, and maintaining clear communication with team leads despite working virtually. Staying organized with scheduling tools, actively participating in regular check-ins, and seeking clarification on task requirements can help mitigate these challenges. Additionally, setting a consistent work routine and leveraging productivity techniques can improve focus and efficiency, making the remote work environment more manageable.

What is a remote AI tasker?

Remote AI Taskers are individuals who perform various tasks to help train, test, and improve artificial intelligence systems from a remote location. Their work may include data labeling, categorizing images or text, transcribing audio, or providing feedback on AI outputs. These tasks are essential for ensuring that AI models learn accurately and perform as expected. Remote AI Taskers typically work on a freelance or contract basis, often for technology companies or crowdsourcing platforms.

What are the most commonly searched types of Ai Tasker jobs in Arizona?

The most popular types of Ai Tasker jobs in Arizona are:

What are popular job titles related to Remote Ai Tasker jobs in Arizona?

For Remote Ai Tasker jobs in Arizona, the most frequently searched job titles are:

What cities in Arizona are hiring for Remote Ai Tasker jobs?

Cities in Arizona with the most Remote Ai Tasker job openings:

Cheminformatics Specialist - Remote

micro1 AI

Surprise, AZ • Remote

$80 - $110/hr

Part-time

Posted 15 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.