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Remote Data Labelling Jobs in Nashville, TN (NOW HIRING)

Data Infrastructure: Build and maintain data pipelines to collect, clean, label, and store data ... The Local Infusion Way Local Infusion is a respectful, upbeat, and remote-first team united by our ...

... labels without lies. Founded on one simple belief - that the ingredients in your food and ... Test and iterate. Use performance data (CTR, hook rate, CPA) and customer feedback to refine ...

... labels without lies. Founded on one simple belief -- that the ingredients in your food and ... Test and iterate. Use performance data (CTR, hook rate, CPA) and customer feedback to refine ...

Senior Insider Threat Engineer

Nashville, TN · On-site +1

$110K - $151K/yr

Become a part of our caring community (Remote role, though selected candidate is required to live ... Working knowledge of insider threat tactics, techniques, and procedures (TTPs), including data ...

Senior Insider Threat Engineer

Nashville, TN · On-site +1

$110K - $151K/yr

Become a part of our caring community (Remote role, though selected candidate is required to live ... Working knowledge of insider threat tactics, techniques, and procedures (TTPs), including data ...

Remote Data Labelling information

See Nashville, TN salary details

$44.4K

$159.4K

$235.2K

How much do remote data labelling jobs pay per year?

As of Aug 26, 2026, the average yearly pay for remote data labelling in Nashville, TN is $159,390.00, according to ZipRecruiter salary data. Most workers in this role earn between $128,900.00 and $164,200.00 per year, depending on experience, location, and employer.

What is a remote data labelling?

A Remote Data Labelling job involves annotating, categorizing, or tagging data (such as images, text, or audio) to help train machine learning models. Workers typically use specialized tools to label data based on specific guidelines provided by companies. This role is performed entirely online, making it flexible and accessible from anywhere. It is commonly used in AI development for industries like autonomous vehicles, healthcare, and e-commerce.

What are the key skills and qualifications needed to thrive in remote data labelling?

To thrive as a Remote Data Labelling professional, strong attention to detail, accuracy, and basic computer literacy are essential, often requiring a high school diploma or equivalent. Familiarity with data annotation platforms, labeling tools, and sometimes experience with spreadsheet or project management software are common requirements. Excellent time management, self-motivation, and the ability to follow detailed instructions help individuals excel in this largely independent role. These qualifications are vital to ensure precise, high-quality data sets that drive effective machine learning and AI model development.

What are some common challenges faced by remote data labelling professionals, and how can they be managed?

Remote data labelling professionals often encounter challenges such as repetitive tasks, maintaining focus over extended periods, and interpreting ambiguous data accurately. To manage these challenges, it helps to take regular breaks, use productivity techniques, and seek clarification from supervisors or team leads when instructions are unclear. Many companies provide detailed guidelines and offer online support channels to help remote labelers stay engaged and ensure consistency. Being proactive in communication and attentive to updates in instructions will contribute to both job satisfaction and data quality.

How can I get started in remote data labeling?

To start as a remote data labeler, gain basic knowledge of data annotation tools and understand labeling guidelines for different data types such as images, audio, or text. Many companies require a reliable internet connection, attention to detail, and sometimes a test task to demonstrate accuracy. You can find entry-level positions on online job platforms and consider completing relevant online courses to improve your skills.

How much are remote data labelers paid?

Remote data labelers typically earn between $10 and $20 per hour, depending on experience, complexity of tasks, and the company. Some roles may offer project-based pay or bonuses for accuracy and efficiency.

What are the most commonly searched types of Data Labelling jobs in Nashville, TN?

The most popular types of Data Labelling jobs in Nashville, TN are:

What are popular job titles related to Remote Data Labelling jobs in Nashville, TN?

For Remote Data Labelling jobs in Nashville, TN, the most frequently searched job titles are:

What job categories do people searching Remote Data Labelling jobs in Nashville, TN look for?

The top searched job categories for Remote Data Labelling jobs in Nashville, TN are:

What cities near Nashville, TN are hiring for Remote Data Labelling jobs?

Cities near Nashville, TN with the most Remote Data Labelling job openings:

Infographic showing various Remote Data Labelling job openings in Nashville, TN as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $159,390 per year, or $76.6 per hour.

Machine Learning Engineer

Nashville, TN • Remote

Local Infusion
Health Care and Social Assistance • 1 - 10 employees

Full-time

Medical, Dental, Vision, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

We are Local Infusion.

Local Infusion is the fastest growing infusion provider in the United States, with a mission to transform the specialty infusion industry, because patients deserve better. By providing both exceptional, patient-centered care and the proprietary, AI-driven technology powering it, Local Infusion accelerates access, simplifies workflows, and improves outcomes for everyone in the infusion journey — from patients and clinicians to health plans, health systems, employers, and pharma.
Clinicians can spend less time on paperwork and more time with patients, bringing comfort, connection, and community back to healthcare. With Local Infusion, every patient and every care team is fully supported, every step of the way.

Fraud and Security Notice: Please note that all communication regarding job opportunities at Local Infusion will come exclusively from an @mylocalinfusion.com email address. If you receive messages from any other domain, please disregard them.

 

The Role

Local Infusion is building a next-generation operating system for infusion care — powered by automation, AI, and real-time insights. We’re looking for a Machine Learning Engineer to own the intelligence layer of our platform. You’ll work across structured and unstructured data to drive automation, predict bottlenecks, and help patients start treatment faster.

 

Key Accountabilities:
  • Model Development: Build and deploy ML models to identify missing data, predict treatment delays, triage high-risk referrals, and score payer/patient friction

  • AI Integration: Architect and maintain LLM-powered workflows

  • Data Infrastructure: Build and maintain data pipelines to collect, clean, label, and store data across systems

  • Model Monitoring: Define success metrics, monitor model performance over time, and iterate quickly to improve accuracy and reliability. Set up training data, data labeling workflows or feedback loops for model improvement.

  • Cross-Functional Partnership: Collaborate with product, engineering, and operations to identify high-leverage automation opportunities and embed models into workflows.

Key Requirements:
  • 6+ years in ML engineering, data science, or applied AI roles (bonus for healthcare experience).

  • Proficient in Python (Pandas, Scikit-learn, LangChain, PyTorch or TensorFlow) and SQL.

  • Strong experience building and deploying models in production environments.

  • Familiar with LLM integration, retrieval-augmented generation (RAG), and vector search (e.g., Pinecone, FAISS).

  • Skilled in working with unstructured data: OCR, NLP, form/document understanding.

  • Experience with cloud infrastructure (AWS preferred), Git, and basic DevOps practices.

  • Comfortable partnering with product and operations teams to solve real-world business problems.

  • Working with healthcare data (EMR/EHR, insurance claims, HL7/FHIR).

  • Building patient or payer-facing AI solutions in regulated environments (HIPAA).

 
The Local Infusion Way

Local Infusion is a respectful, upbeat, and remote-first team united by our mission of shaping the way specialty infusion care is delivered. We are highly ambitious but understand that in order to do a great job, we have to take care of ourselves; we expect that you will have time and energy devoted to your families, friends and hobbies.

As part of our team, full-time employees get:

  • Medical, dental, and vision insurance through our employer plan

  • Short and long-term disability coverage

  • 401(k) — as an early-stage startup, and we match!

  • 15 Days PTO — and we want you to take it!

  • Competitive paid parental leave and flexible return to work policy.

  • We invest in your career. Our company is growing quickly, and we'll give you the opportunity to do the same. You'll have access to a number of professional development opportunities so that you can keep up with the company's evolving needs and grow your career along the way.

We don’t discriminate—Local Infusion is an Equal Employment Opportunity (EEO) Employer. We fundamentally believe that a more diverse and inclusive team leads to a stronger company more able to achieve our vision.

 

What It's Like to Work at Local Infusion