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Ai Data Annotation Remote Jobs in Portland, ME (NOW HIRING)

Arkatechture

AWS Cloud Infrastructure Engineer

Portland, ME · On-site +1

$57 - $76.25/hr

... data and technology company, partnering with organizations across the fintech, AI, and financial ... Develop reusable Terraform modules, maintain remote state, and support version-controlled ...

Arkatechture

Software Engineer

Portland, ME · On-site +1

$90K - $100K/yr

Remote Compensation: $90,000 - $100,000 / year Description Why Work Here? At Arkatechture, we have ... data and technology company, partnering with organizations across the fintech, AI, and financial ...

Arkatechture

Software Engineer

Portland, ME · On-site +1

... data and technology company, partnering with organizations across the fintech, AI, and financial ... A flexible remote work policy with optional access to our Portland, Maine office * A 4-day workweek ...

Anchour

Front-End Developer

New Gloucester, ME · On-site +1

$90K - $105K/yr

Custom WordPress, from-scratch Shopify themes, and the data layers and integrations that do the ... This is a hybrid role based out of our Maine headquarters, with flexibility for remote work. We'd ...

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Ai Data Annotation Remote information

What is an AI data annotation remote?

An AI Data Annotation Remote job involves labeling, tagging, or categorizing data used to train artificial intelligence models. Annotators work with text, images, audio, or video to ensure machine learning algorithms receive accurate and high-quality input. This role is performed remotely, allowing flexibility in work location and schedule. Attention to detail, consistency, and familiarity with annotation tools are essential skills for this job.

What does a typical day look like for someone working remotely in AI data annotation?

A typical day for a remote AI Data Annotation worker involves reviewing and labeling various types of data such as images, text, or audio according to specific guidelines provided by the employer or project lead. You may use specialized annotation software and work through batches of data while following quality standards and deadlines. Periodic team check-ins or virtual meetings help clarify instructions, address questions, and monitor progress. While most of the work is independent, communication with supervisors or quality assurance teams is important to ensure that data labeling is consistent and accurate.

What are the key skills and qualifications needed to thrive in the AI data annotation remote position, and why are they important?

To thrive as an AI Data Annotation Remote worker, you need strong attention to detail, familiarity with data labeling processes, and a basic understanding of machine learning concepts, often supported by a high school diploma or relevant experience. Familiarity with data annotation platforms such as Labelbox, Supervisely, or AWS SageMaker Ground Truth is typically required, and certifications in data annotation or AI may be advantageous. Strong time management, the ability to work independently, and clear communication skills are valuable in this remote role. These abilities ensure accurate and efficient data labeling, which is critical for training reliable AI models.

What job categories do people searching Ai Data Annotation Remote jobs in Portland, ME look for?

The top searched job categories for Ai Data Annotation Remote jobs in Portland, ME are:

What cities near Portland, ME are hiring for Ai Data Annotation Remote jobs?

Cities near Portland, ME with the most Ai Data Annotation Remote job openings:

Ai Data Annotation Remote jobs near you
Infographic showing various Ai Data Annotation Remote job openings in Portland, ME as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

AWS Cloud Infrastructure Engineer

Arkatechture

Portland, ME • On-site, Remote

$57 - $76.25/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 22 days ago

Job description

CLOUD PLATFORM & INFRASTRUCTURE
Design, automate, and support secure, scalable AWS infrastructure.

Build the Future of Data Solutions

At Arkatechture, we have a simple shared mission: to build a sustainable organization built upon three pillars:  Do something meaningful, With a great team, Earning what you deserve.

Founded in 2012, Arkatechture has grown into a nationally recognized data and technology company, partnering with organizations across the fintech, AI, and financial services spaces. We combine deep industry knowledge with technical expertise to help our clients unlock the full potential of their data. Whether it's modernizing infrastructure, building analytics platforms, or leveraging AI for smarter decision-making, we thrive at the intersection of innovation and impact.
Our team is made up of curious, collaborative, and community-minded professionals who are passionate about solving complex problems and staying ahead of what's next in data and technology. While our roots are in New England, our reach is nationwide, and we support flexible, remote-friendly work to match.

The Opportunity
The AWS Cloud Infrastructure Engineer designs, builds, and supports AWS infrastructure and shared platform services for application and data workloads across development, test, staging, and production. The role emphasizes cloud administration, infrastructure automation, networking, security, reliability, and operational support. The engineer will work closely with application, data, security, and delivery teams to establish consistent cloud patterns and ensure that environments remain scalable, maintainable, and aligned with organizational standards.
  • Design, provision, and maintain secure AWS environments across multiple accounts and lifecycle stages.
  • Develop reusable Terraform modules, maintain remote state, and support version-controlled infrastructure configurations and deployment standards.
  • Manage AWS compute, storage, database, container, serverless, and networking services.
  • Design and support VPCs, routing, security groups, load balancers, DNS, VPN, and private connectivity.
  • Implement scalable and highly available infrastructure using Auto Scaling, Multi-AZ, backup, and disaster recovery patterns.
  • Build and support CI/CD infrastructure and environment-promotion workflows, including self-hosted GitHub Actions runners on EC2.
  • Implement IAM, encryption, secrets management, logging, monitoring, alerting, and security baseline controls.
  • Monitor infrastructure, troubleshoot incidents, apply patches, validate backups, and improve performance and cost efficiency.
  • Support account governance, tagging, configuration compliance, capacity planning, and controlled infrastructure changes.
  • Create architecture diagrams, Terraform standards, operating procedures, troubleshooting guides, and disaster recovery documentation.
  • Evaluate AWS services and design options based on security, reliability, operational complexity, performance, and cost.

Required Skills and Experience
  • Hands-on experience designing, deploying, and administering AWS infrastructure.
  • Strong experience authoring and maintaining Terraform modules or comparable infrastructure-as-code solutions.
  • Working knowledge of core AWS services such as EC2, S3, RDS or Aurora, VPC, IAM, Lambda, and CloudWatch.
  • Strong understanding of cloud networking, including routing, DNS, load balancing, firewalls, and private connectivity.
  • Experience with Docker and an AWS container platform such as ECS or EKS.
  • Experience supporting CI/CD pipelines and promoting infrastructure changes across multiple environments.
  • Knowledge of IAM, encryption, secrets management, monitoring, highly available architectures, and disaster recovery.
  • Experience troubleshooting production infrastructure, connectivity, permissions, capacity, or deployment issues.
  • Familiarity with Git workflows, scripting, configuration management, and automated infrastructure validation.
  • Strong communication and technical documentation skills.
  • Relevant AWS certification.
Preferred Qualifications
  • Experience with AWS Organizations, Control Tower, multi-account governance, or centralized networking.
  • Experience operating self-hosted CI/CD runners or GitHub Actions infrastructure.
  • Experience with observability, infrastructure security, or regulated environments.
  • Familiarity with data platforms, event-driven architectures, or hybrid cloud integrations.
  • Familiarity with CMS ARC-AMPE, NIST SP 800-53, and HIPAA requirements.
  • Experience implementing cloud controls that support security and compliance requirements.
We offer a competitive benefits package that includes:
  • A flexible remote work policy with optional access to our Portland, Maine office
  • A 4-day workweek after 3 years of service
  • Generous paid time off, including 11 holidays
  • Medical, disability, life insurance, and optional dental/vision
  • 401(k) retirement plan with company match
  • Training & certification reimbursement
  • Milestone recognition programs, annual PTO increases, and more
All employees share our core values: put the team first, practice humility, take pride in everything we do, stay curious, care for our community & environment, take work seriously; ourselves not so much.
Ready to Apply? 

If you're excited about designing secure, scalable cloud infrastructure, automating environments with Infrastructure as Code, and building reliable AWS platforms that power critical applications, we'd love to hear from you.

To help us get to know you, please include your resume and answer the following question in the cover letter section of your application:
Describe an AWS infrastructure project that best demonstrates your ability to design, automate, and support secure, scalable cloud environments. What was your role, which AWS services and tools did you use, what challenges did you overcome, and what was the outcome? (250 words or less.)

Don't meet every qualification listed above? We still encourage you to apply. Research consistently shows that talented candidates, particularly women and underrepresented groups, often hesitate to apply unless they meet every requirement. If this role excites you, we'd love to hear from you.

Apply