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Data Annotation Ai Trainer Jobs in Maine (NOW HIRING)

Unum UK

Data Scientist II - CX Analytics

Portland, ME · On-site +1

Our team leverages AI across development workflows and uses it to extract insights from both ... Provides support, training and/or mentorship to lower-level Data Science peers. Perform other ...

Arkatechture

Technical Lead, Data Analytics

Portland, ME · On-site +1

$100K - $140K/yr

... training for customers. * Communicate complex technical concepts clearly to both technical and non ... AI or machine learning technologies Why You'll Love Working Here At Arkatechture, you'll work ...

Arkatechture

Technical Lead, Data Analytics

Portland, ME · On-site +1

... AI-powered solutions. Our mission is built on three simple pillars: * Do something meaningful ... training for customers. * Communicate complex technical concepts clearly to both technical and non ...

Razer

Site Reliability Engineer

South China, ME

$50.75 - $67.25/hr

Ensure systems are compliant with security standards, including patching, hardening, secure access policies, and data privacy constraints specific to AI training data. * Provide on-call support ...

Triwill Group

Machine Learning Engineer II

Lisbon, ME · On-site

$130 - $170/hr

... generative AI (genAI) based solutions * Partner with data scientists, effectively sharing ... model training and deployment) Preferred Qualifications * Experience working with Product teams ...

New

Norstella

Legal Counsel, Employment

Augusta, ME · Remote

Norstella's investments in AI are transforming how data is consumed and decisions are made ... Salary offers are based on a wide range of factors including relevant skills, training, experience ...

Norstella

Legal Counsel, Employment

Augusta, ME · Remote

Norstella's investments in AI are transforming how data is consumed and decisions are made ... Salary offers are based on a wide range of factors including relevant skills, training, experience ...

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Data Annotation Ai Trainer information

What is a data annotation AI trainer?

A Data Annotation AI Trainer is responsible for labeling and annotating data to help train machine learning models. This involves identifying objects, tagging text, or categorizing images to improve AI accuracy. The role requires attention to detail and an understanding of guidelines to ensure high-quality labeled data. AI trainers work closely with data scientists and engineers to refine model performance through precise annotations.

What does a data annotation AI trainer do?

As a Data Annotation Ai Trainer, your typical day involves reviewing and labeling large datasets, providing feedback to annotation teams, and ensuring that data quality meets project standards. You'll often collaborate with data scientists, machine learning engineers, and project managers to clarify guidelines and resolve ambiguities. Periodically, you may help develop or refine documentation and training materials to improve annotation consistency. The role requires both independent work and open communication to maintain high accuracy and support AI development initiatives.

What are the key skills and qualifications needed to thrive as a data annotation AI trainer?

To thrive as a Data Annotation Ai Trainer, you need a keen attention to detail, basic data analysis skills, and familiarity with machine learning concepts, often supported by a relevant degree or coursework. Experience with annotation tools like Labelbox, Supervisely, or similar platforms, along with knowledge of data privacy standards, is commonly required. Strong communication, problem-solving ability, and patience help you work effectively in teams and ensure data quality. These skills are essential because they directly influence the accuracy and effectiveness of AI models trained using annotated data.

How much do data annotation AI trainers make?

Data annotation AI trainers typically earn between $15 and $30 per hour, depending on experience, location, and the complexity of the annotation tasks. Salaries can range from entry-level rates to higher wages for specialized skills or advanced tools proficiency.

Is data annotation AI trainer job legitimate?

Data annotation AI trainer jobs are legitimate roles involving labeling data to help train machine learning models. These positions often require attention to detail and familiarity with annotation tools, and they are commonly offered by tech companies and data labeling firms. However, job seekers should verify the employer's credibility to avoid scams.

What are popular job titles related to Data Annotation Ai Trainer jobs in Maine?

For Data Annotation Ai Trainer jobs in Maine, the most frequently searched job titles are:

What job categories do people searching Data Annotation Ai Trainer jobs in Maine look for?

The top searched job categories for Data Annotation Ai Trainer jobs in Maine are:

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Cities in Maine with the most Data Annotation Ai Trainer job openings:

Data Annotation Ai Trainer jobs near you
Infographic showing various Data Annotation Ai Trainer job openings in Maine as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 3% Temporary, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Financial Data Analyst

New England Life Care

Scarborough, ME • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 27 days ago

New England Life Care rating

6.3

Company rating: 6.3 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

Job description

NELC is one of the fastest growing home infusion therapy services companies in New England and is the region’s only non-profit home infusion provider. NELC is a hospital collaborative serving more than 70 hospital systems in Maine, New Hampshire, and Massachusetts. NELC was created by local hospitals to ensure their patients have access to a provider that reflects their commitment to excellence in patient care, quality, and service. Like our owner hospitals, NELC provides patient focused care.

New England Life Care has and continues to build a diverse, inclusive, and authentic workplace, so if you’re energized by this opportunity, we encourage you to apply! 

New England Life Care currently has an opening for a Financial Data Analyst. This position typically works Monday through Friday from 8:00am until 5:00pm. Although classified as a remote position, occasional travel is required to a branch location. The ideal candidate for this role will have working knowledge of AI analytics and BI dashboard; audit AI-driven systems and ensure regulatory compliance; and be able to speak to how they have used AI to strengthen forecasts, variance analysis, and reporting in previous roles. 


**Although this is a remote position, we are only hiring in the following states: Massachusetts, New Hampshire, and Maine.**



Summary: 

Financial and Data Analysts at New England Life Care transform complex financial and operational data into actionable insights that support strategic decision-making while ensuring the accuracy and integrity of all reporting. Candidates in this role are expected to be active practitioners and champions of AI-assisted analytics — leveraging tools such as Claude, Microsoft Power Query, and Power Automate to drive automation, efficiency, and data quality. Beyond their own work, they play a key role in advancing NELC’s broader AI adoption and participate directly in the organization’s AI governance framework. They collaborate with stakeholders across the organization to understand business needs, design analytical solutions, and lead efforts in data collection, reporting, and visualization.

Benefits: 

  • Health insurance
  • Dental insurance
  • Vision insurance
  • Generous employer-matched 403b savings program
  • Company paid: Life insurance, Short- and long-term disability insurance
  • Paid time off
  • And much more!


Primary Responsibilities:

  • Collect, clean, and analyze financial and operational data from multiple internal systems; use AI-assisted tools (including Claude) to accelerate data validation, anomaly detection, and cross-source reconciliation
  • Develop and maintain advanced financial and operational models in Excel — as a designer, not just a user — and leverage Power BI for visualization and Power Query for automated data transformation
  • Build and maintain Power Automate workflows to reduce manual reporting steps, automate data refreshes, and improve operational efficiency across finance functions
  • Actively use Claude and other AI tools to generate analytical narratives, draft variance explanations, and identify trends that inform strategic recommendations
  • Champion AI adoption within the organization by training colleagues, sharing practical use cases, and developing repeatable AI-assisted workflows that teams can adopt
  • Serve as an active participant in NELC’s AI governance framework — contributing to the development of responsible use standards, data policies, and compliance guidelines for AI tools in a healthcare environment
  • Contribute to the annual budgeting and quarterly forecasting processes, ensuring alignment with organizational goals and leveraging AI tools to improve accuracy and speed
  • Analyze

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