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Entry Level Ai Data Annotation Jobs in Memphis, TN

... data center facilities by assisting with routine non-critical maintenance tasks. Under close ... AI-driven mission. This entry-level role emphasizes hands-on learning, teamwork, and attention to ...

... data center facilities by assisting with routine non-critical maintenance tasks. Under close ... AI-driven mission. This entry-level role emphasizes hands-on learning, teamwork, and attention to ...

HR Coordinator

West Memphis, AR · On-site

$19.25 - $25.25/hr

HR Coordinator Reporting to the HR Director, the Human Resources Coordinator is an entry-level, ... Demonstrated ability to analyze data, identify trends, and translate insights into actionable ...

Account Manager

Memphis, TN · On-site

$17.31 - $36.04/hr

As the global leader in Lean AI supply chains-which combines the power of expert people, our ... Robinson, we've reimagined our entry-level Account Manager role to create Blue Print, an ...

Account Manager

Memphis, TN · On-site

$17.31 - $36.04/hr

As the global leader in Lean AI supply chains-which combines the power of expert people, our ... Robinson, we've reimagined our entry-level Account Manager role to create Blue Print, an ...

Cook

Memphis, TN · On-site

$13.50 - $18.25/hr

SpaceXAI's mission is to create AI systems that can accurately understand the universe and aid ... This is an entry-level line cook position for individuals who are familiar with basic cooking ...

Cook

Memphis, TN · On-site

$13.50 - $18.25/hr

SpaceXAI's mission is to create AI systems that can accurately understand the universe and aid ... This is an entry-level line cook position for individuals who are familiar with basic cooking ...

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Entry Level Ai Data Annotation information

See Memphis, TN salary details

$11

$19

$30

How much do entry level ai data annotation jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for entry level ai data annotation in Memphis, TN is $19.66, according to ZipRecruiter salary data. Most workers in this role earn between $15.87 and $21.25 per hour, depending on experience, location, and employer.

What is an entry level AI data annotation?

An Entry Level AI Data Annotation job involves labeling and categorizing data such as images, text, audio, or video to help train artificial intelligence (AI) and machine learning models. Annotators follow specific guidelines to tag data accurately, ensuring that AI systems learn to recognize patterns correctly. These positions typically require attention to detail, basic computer skills, and the ability to follow instructions. No advanced technical knowledge is usually required, making it a great way to start a career in the AI or tech industry.

What are the key skills and qualifications needed to thrive as an entry level AI data annotation specialist?

To thrive as an Entry Level AI Data Annotation Specialist, attention to detail, basic computer literacy, and a high school diploma or equivalent are typically required. Familiarity with data labeling platforms, annotation tools, and spreadsheet software is often expected. Strong organizational skills, focus, and the ability to work independently help individuals excel in this role. These skills ensure accurate and efficient data labeling, which is crucial for developing reliable AI and machine learning models.

What are some common challenges faced by entry level AI data annotation specialists, and how can they be addressed?

Entry-level AI data annotation specialists often encounter challenges such as maintaining consistency and accuracy while labeling large volumes of data, understanding nuanced instructions, and adapting to changing project requirements. These challenges can be addressed by actively seeking clarification from team leads, participating in training sessions, and regularly reviewing annotation guidelines. Collaborating with teammates and using quality assurance feedback also helps improve accuracy and ensures alignment with project standards.

What are the most commonly searched types of Ai Data Annotation jobs in Memphis, TN?

The most popular types of Ai Data Annotation jobs in Memphis, TN are:

What are popular job titles related to Entry Level Ai Data Annotation jobs in Memphis, TN?

For Entry Level Ai Data Annotation jobs in Memphis, TN, the most frequently searched job titles are:

What job categories do people searching Entry Level Ai Data Annotation jobs in Memphis, TN look for?

The top searched job categories for Entry Level Ai Data Annotation jobs in Memphis, TN are:

Infographic showing various Entry Level Ai Data Annotation job openings in Memphis, TN as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $40,897 per year, or $19.7 per hour.

Postdoctoral Scholar-Pharmacology

The University of Tennessee

Memphis, TN • On-site

Full-time

Posted 12 days ago


Job description

THIS IS A GRANT-FUNDED POSITION FUNDED UNTIL OCTOBER 1, 2030

The Department of Pharmacology, Addiction Science, and Toxicology at the University of Tennessee Health Sciences is seeking a Postdoctoral Scholar to lead the computational analysis and artificial intelligence (AI) integration for a major NIH funded grant. The successful candidate will be responsible for extracting biological insights from large-scale, high-dimensional sequencing data using a combination of conventional bioinformatics and cutting-edge machine learning methodologies.

EDUCATION: Ph.D. in Bioinformatics, Computational Biology, Computer Science, Neuroscience, or a related quantitative field. 

 EXPERIENCE: Experience in AI integration, extracting biological insights from large-scale high-dimensional sequencing data. Computational biology and AI preferred. 

 KNOWLEDGE, SKILLS, AND ABILITIES:

  • Strong understanding of long-read sequencing technologies and multi-omics integration. 
  • Ability to work independently in a fast-paced, multi-disciplinary research environment. 
  • Excellent communication skills for collaborating with experimentalists and disseminating research outputs.
  1. Leads the analysis of foundational multi-omics datasets, including single-molecule long-read DNA methylation (CpG), direct RNA sequencing, and single-nucleus RNA-seq (snRNA-seq) generated across diverse rat strains and brain regions.
  2. Adapts and fine-tunes existing deep learning models (e.g., AlphaGenome, DeepSEA, DNA Hyena, scGPT) to improve variant effect prediction and automated cell-type annotation specifically for rat genomic data.
  3. Develops and implements a Retrieval-Augmented Generation (RAG) framework utilizing Large Language Models (LLMs) to synthesize information from biomedical literature and generate novel, testable hypotheses regarding Substance Use Disorder (SUD) mechanisms.
  4. Utilizes advanced statistical frameworks (e.g., Multi-Omics Factor Analysis) to integrate genomic, epigenomic, transcriptomic, and proteomic data.
  5. Drafts high-impact manuscripts for peer-reviewed journals and present research findings and resources at national and international conferences.
  6. Oversees the utilization of high-performance computational resources, including dedicated GPU workstations for LLM evaluation and testing.
  7. Performs other duties as assigned.