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Data Annotation Ai Trainer Jobs in Augusta, ME (NOW HIRING)

Data Engineer

Auburn, ME · On-site

$123K - $148K/yr

About Us We are AI researchers and builders who understand how to curate data and RL environments ... training. This means designing observation spaces, action spaces, reward signals, and success ...

Data Engineer

Lewiston, ME · On-site

$121K - $146K/yr

About Us We are AI researchers and builders who understand how to curate data and RL environments ... training. This means designing observation spaces, action spaces, reward signals, and success ...

Data Engineer

Augusta, ME · On-site

$113K - $136K/yr

About Us We are AI researchers and builders who understand how to curate data and RL environments ... training. This means designing observation spaces, action spaces, reward signals, and success ...

Site Reliability Engineer

South China, ME · On-site

$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 ...

About Us We are AI researchers and builders who understand how to curate data and RL environments ... Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post ...

About Us We are AI researchers and builders who understand how to curate data and RL environments ... Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post ...

About Us We are AI researchers and builders who understand how to curate data and RL environments ... Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post ...

Sales Business Retention Rep

Augusta, ME · On-site

$50K - $57K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Create detailed usage reporting and analyze data to inform customer strategy and internal alignment ... Customer training experience is a plus * Interest in using AI or productivity tools to enhance work ...

Cybersecurity Risk Lead

Camden, ME · On-site

$121K - $164K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

... training and advancement within the organization . * We've been named one of the best places to ... Understanding of securing AI tools, AI integrations, and AI oversight * Experience with third-party ...

Cybersecurity Risk Lead

Gardiner, ME · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

... training and advancement within the organization . * We've been named one of the best places to ... Understanding of securing AI tools, AI integrations, and AI oversight * Experience with third-party ...

Cybersecurity Risk Lead

Auburn, ME

$119K - $161K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

... training and advancement within the organization . * We've been named one of the best places to ... Understanding of securing AI tools, AI integrations, and AI oversight * Experience with third-party ...

Cybersecurity Risk Lead

Gardiner, ME · On-site

$107K - $144K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

... training and advancement within the organization . * We've been named one of the best places to ... Understanding of securing AI tools, AI integrations, and AI oversight * Experience with third-party ...

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Data Annotation Ai Trainer information

See Augusta, ME salary details

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How much do data annotation ai trainer jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for data annotation ai trainer in Augusta, ME is $24.49, according to ZipRecruiter salary data. Most workers in this role earn between $18.56 and $26.20 per hour, depending on experience, location, and employer.

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 Augusta, ME?

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

What cities near Augusta, ME are hiring for Data Annotation Ai Trainer jobs?

Cities near Augusta, ME with the most Data Annotation Ai Trainer job openings:

Infographic showing various Data Annotation Ai Trainer job openings in Augusta, ME as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $50,942 per year, or $24.5 per hour.

$123K - $148K/yr

Full-time

Re-posted yesterday


Job description

About Us

We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have trained SOTA models such as Bespoke-MiniCheck and Bespoke-MiniChart.

We are embarked on a journey to build Environments that are entire digital worlds that can be used to push the frontier of agents.

What You'll Be Working On

You will work directly with our research team on RL environment and task creation for agent training. This means designing observation spaces, action spaces, reward signals, and success criteria for new environments — and building the infrastructure that makes world-scale RL training possible. This is a high-ownership role; you will be building novel systems, not maintaining legacy ones.

Must-Have Skills

3+ years of data engineering experience — pipelines, ETL, data modeling in production or research settings

Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools)

Familiarity with at least one RL framework (Gymnasium / OpenAI Gym, dm_env, or equivalent) and working knowledge of RL environment structure — observation/action spaces, reward signals, episode logic

Experience with data versioning and experiment tracking (DVC, MLflow, W&B, or similar)

Comfortable with Docker and cloud infrastructure (AWS or GCP)

Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines