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Hourly Remote Data Annotation Jobs in Boston, MA

Brown & Brown Insurance

Consultant

Southborough, MA · On-site +1

$100K - $125K/yr

This role offers flexibility with remote or hybrid work options. As a Consultant, you will manage ... Analyze data and financial metrics , conduct utilization reviews, and perform peer audits to ...

DataAnnotation

M&A Associate - AI Trainer

Brockton, MA · Remote

$50 - $60/hr

Enjoy the flexibility of remote work and the freedom to set your own schedule. This is an ... Projects are paid hourly starting at $50-$100+/hr, with bonus rates available on some projects ...

DataAnnotation

FP&A Manager - AI Trainer

Brockton, MA · Remote

$50 - $60/hr

Enjoy the flexibility of remote work and the freedom to set your own schedule. This is an ... Projects are paid hourly starting at $50-$100+/hr, with bonus rates available on some projects ...

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Hourly Remote Data Annotation information

What are the key skills and qualifications needed to thrive as an Hourly Remote Data Annotation Specialist, and why are they important?

To excel as an Hourly Remote Data Annotation Specialist, you need strong attention to detail, accuracy, and familiarity with data labeling concepts, often supported by a high school diploma or equivalent. Proficiency with annotation platforms, labeling tools (like Labelbox or Supervisely), and sometimes basic knowledge of spreadsheets or image/video editing software is typically required. Reliability, time management, and clear communication are vital soft skills for succeeding in a remote, deadline-driven environment. These abilities ensure high-quality, consistent annotations that are critical for training AI models and meeting project requirements.

What are some common challenges faced by hourly remote data annotation workers and how can they be addressed?

Hourly remote data annotation workers often encounter challenges such as repetitive tasks, maintaining high accuracy, and managing time effectively without direct supervision. To address these, it's important to establish a structured daily routine, take regular breaks to prevent fatigue, and utilize any quality control guidelines provided by the employer. Staying in regular communication with team leads or project managers can also help clarify any ambiguities and ensure consistent work quality.

What is the difference between Hourly Remote Data Annotation vs Hourly Remote Data Labeling?

AspectHourly Remote Data AnnotationHourly Remote Data Labeling
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote, flexible hours
Industry UsageCommon in AI/ML projects for training dataCommon in AI/ML projects for training data
Job FocusAdding annotations to data (e.g., bounding boxes, tags)Assigning labels to datasets for model training

Both roles involve working remotely to prepare data for machine learning models. Data annotation typically involves marking specific features within data, while data labeling involves categorizing data into predefined classes. The skills and work environment are similar, making them closely related but distinct tasks within AI data preparation.

What is hourly remote data annotation?

Hourly remote data annotation involves labeling or categorizing data, such as images, text, or audio, for use in machine learning and artificial intelligence projects. Annotators work from home and are usually paid by the hour to review and tag data according to specific guidelines provided by the employer. This work is essential for training algorithms to recognize patterns or interpret information accurately. Data annotation tasks vary and can include image classification, text categorization, or identifying objects within media. It’s a popular entry-level remote job that requires attention to detail and the ability to follow instructions closely.
What are the most commonly searched types of Remote Data Annotation jobs in Boston, MA? The most popular types of Remote Data Annotation jobs in Boston, MA are:
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Hourly Remote Data Annotation jobs near you
Senior/Staff Site Reliability Engineer - Data Center

Senior/Staff Site Reliability Engineer - Data Center

PathAI

Boston, MA • On-site, Remote

$165K - $224K/yr

Full-time

Re-posted 5 days ago

Job description

Who We Are
PathAI is on a mission to improve patient outcomes with AI-powered pathology. We are transforming traditional pathology methods into powerful, new technologies. These innovations in pathology can help accelerate drug development, improve confidence in the accuracy of diagnosis, and get life-saving therapies to patients more quickly. At PathAI, you'll work with a diverse and talented team of people, who are dedicated to solving complex problems and making a huge impact.
Where You Fit
We're looking for a skilled senior/staff level Site Reliability Engineer focused on designing, building, and operating our hybrid cloud/on-prem environment.
What You'll Do
If you're the right candidate, you'll be exercising all the skills you have and building new ones along the way:
  • Advancing the state of our operations by implementing SRE best practices - focusing on users, monitoring, and automation.
  • Engineering infrastructure patterns for cloud environments in Amazon Web Services - building in security, reliability and scalability.
  • Designing, building, and operating our data center to support our rapidly growing Machine Learning team.
  • Integrating on-premises datacenter environments with existing cloud infrastructure to create a seamless hybrid cloud environment.
  • Improving the reliability and resilience of our infrastructure through root-cause analysis and reviewing gaps in designs, and implementations of our infrastructure.
  • Participating in platform on-call rotations and assisting with urgent incident response.
What You Bring
Our employees' skills come in all shapes and sizes, but to be successful in this role with us, you'll at least need:
  • 5+ years of relevant experience.
  • Automation: You work hard to eliminate toil by automating everything through scripting, configuration management tools (Ansible), and code (Python/GoLang).
  • You've built monitoring infrastructure with modern observability tools (Datadog/Grafana/Prometheus).
  • You've worked with infrastructure as code (Terraform/Cloudformation).
  • You've administered physical hardware stacks in production settings (iDRAC/IPMI/Nvidia UFM/Juniper Systems).
  • You're opinionated on storage solutions and how they can be optimized for high performance workloads (Quobyte/S3/FSx/EFS).
  • Familiarity with modern network designs and comfort operating across network layers.
  • Some experience and opinions on virtualization, containerization, or container orchestration platforms. (EKS/ClusterAPI/KVM).
  • Operations experience: You've managed critical production infrastructure and are familiar with incident response, scaling, and rapid growth related challenges.
  • A bachelor's degree in Computer Science or equivalent experience.
  • An insatiable intellectual curiosity and the ability to learn quickly in a complex space.
  • Travel: Willingness to travel up to 25% of the time.
We Want To Hear From You
At PathAI, we are looking for individuals who are team players, are willing to do the work no matter how big or small it may be, and who are passionate about everything they do. If this sounds like you, even if you may not match the job description to a tee, we encourage you to apply. You could be exactly what we're looking for.
PathAI is an equal opportunity employer, dedicated to creating a workplace that is free of harassment and discrimination. We base our employment decisions on business needs, job requirements, and qualifications - that's all. We do not discriminate based on race, gender, religion, health, personal beliefs, age, family or parental status, or any other status. We don't tolerate any kind of discrimination or bias, and we are looking for teammates who feel the same way.
The cash compensation outlined below includes base salary or hourly wage and on-target commission for employees in eligible roles. The summary below indicates if an employee in this position is eligible for annual bonus, overtime pay and equity awards. Individual compensation packages are tailored based on skills, experience, qualifications, and other job-related factors.
Annual Pay Range:
$165,750 - $224,450
Not Overtime Eligible
Eligible for Equity
#LI-Remote

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