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Remote Data Annotation Analyst Jobs in Rhode Island

Cloud Data Engineer

Woonsocket, RI · On-site +1

$53.50 - $71.50/hr

Remote Duration: 12+ Months of Contract * Total IT exp of 5-12 years * 3+ years experience building ... Identifying, analyzing, and resolving infrastructure vulnerabilities and application deployment ...

Analyze and resolve complex spatial data and software issues to support the stability and ... Remote work and more! About DataVoice: DataVoice International's integrated utility management ...

Analyze and resolve complex spatial data and software issues to support the stability and ... Remote work and more! About DataVoice: DataVoice International's integrated utility management ...

Medicare Strategy Analyst

Providence, RI · On-site +1

$73K - $110K/yr

It's why we offer flexible work arrangements that include remote and hybrid opportunities and paid ... Serve as a strategic thought partner, synthesizing cross-functional data and inputs into insights ...

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Remote Data Annotation Analyst information

How does a Remote Data Annotation Analyst typically collaborate with team members and ensure consistent labeling standards?

As a Remote Data Annotation Analyst, you’ll frequently work within a distributed team, using collaboration tools such as Slack, project management platforms, and shared annotation guidelines. Regular virtual meetings and feedback sessions help ensure everyone applies labeling standards consistently and resolves ambiguities. It’s common to review peer annotations and participate in quality assurance checks, promoting a culture of accuracy and continuous improvement. Clear communication and attention to detail are essential for maintaining high-quality annotated datasets across the team.

What are Remote Data Annotation Analysts?

Remote Data Annotation Analysts are professionals who label, categorize, or tag data—such as images, text, audio, or video—from a remote location. Their work helps train machine learning algorithms by providing structured datasets that computers can learn from. These analysts use specialized tools to identify relevant features in raw data, ensuring accuracy and consistency. The role often requires attention to detail, basic technical skills, and the ability to follow specific guidelines or instructions. This position is commonly found in industries like artificial intelligence, autonomous vehicles, and natural language processing.

What is the difference between Remote Data Annotation Analyst vs Remote Data Labeler?

AspectRemote Data Annotation AnalystRemote Data Labeler
Required CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentHome-based, flexible hoursHome-based, flexible hours
Industry UsageAI, machine learning, data scienceAI, machine learning, data science
Job FocusAnalyzing and verifying labeled data, quality controlLabeling data, annotating images, text, or audio

The main difference is that Remote Data Annotation Analysts focus on verifying and ensuring the quality of labeled data, often involving analysis and review, while Remote Data Labelers primarily perform the task of labeling or annotating raw data. Both roles are essential in AI development and share similar work environments and skill requirements, but their specific responsibilities differ in scope and focus.

What are the key skills and qualifications needed to thrive as a Remote Data Annotation Analyst, and why are they important?

To thrive as a Remote Data Annotation Analyst, you need strong attention to detail, analytical thinking, and a high school diploma or equivalent, with many roles preferring experience in data-related tasks. Familiarity with data annotation platforms (like Labelbox or AWS SageMaker Ground Truth) and basic understanding of data management tools are typically required. Excellent time management, self-motivation, and clear communication help analysts manage remote workloads and collaborate effectively with distributed teams. These skills ensure accurate, high-quality annotated data essential for training and validating machine learning models.
What are popular job titles related to Remote Data Annotation Analyst jobs in Rhode Island? For Remote Data Annotation Analyst jobs in Rhode Island, the most frequently searched job titles are:
What job categories do people searching Remote Data Annotation Analyst jobs in Rhode Island look for? The top searched job categories for Remote Data Annotation Analyst jobs in Rhode Island are:
What cities in Rhode Island are hiring for Remote Data Annotation Analyst jobs? Cities in Rhode Island with the most Remote Data Annotation Analyst job openings:
Cloud Data Engineer

Cloud Data Engineer

Navtech, Inc.

Woonsocket, RI • On-site, Remote

$53.50 - $71.50/hr

Full-time

Posted 27 days ago


Job description

Job Title: Cloud Data Engineer
Work Location: Remote
Duration: 12+ Months of Contract
Job Description:
  • Total IT exp of 5-12 years
  • 3+ years experience building and supporting large-scale, business-critical systems on Public Cloud (Azure/AWS/Google Cloud Platform)
  • Azure, AWS, and/or GCP certifications preferred.
  • Develop and implement technical efforts to design, build, and deploy Cloud applications at the direction of lead architects, including large-scale data processing
  • Experience hosting an application on Cloud using Compute Engine, App Engine, Cloud SQL, Kubernetes Engine, Cloud Storage
  • Participate in all aspects of the software development life cycle for CLOUD (AWS/GCP/Azure) solutions, including planning, requirements, development, testing, and quality assurance
  • Prior experience working with: container technology such as Docker, version control systems (Github), build management and CI/CD tools (Concourse, Jenkins), and monitoring tools (App Dynamics, etc.)
  • Good understanding of cloud design considerations and limitations and their impact on Pricing.
  • Networking principles and protocols such as IP subnetting, routing, firewall rules, Virtual Private Cloud, LoadBalancer, Cloud DNS, Cloud CDN, etc.
  • Proficient in a modern scripting language (preferably Python) for automation of build tasks.
  • Collaborating with engineering and development teams to evaluate and identify optimal cloud solutions.
  • Ensuring efficient functioning of data storage and processing functions in accordance with company security policies and best practices in cloud security.
  • Identifying, analyzing, and resolving infrastructure vulnerabilities and application deployment issues.

Good to have
  • Knowledge of web services, API, REST, and RPC
  • Unix/Linux power user
  • US Healthcare Experience

Navtech logo

About Navtech

Sourced by ZipRecruiter

Industry

Civil engineering construction

Company size

11 - 50 Employees

Headquarters location

New Bloomfield, PA, US

Year founded

1996