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Remote Data Labeling Analyst Jobs in Oregon (NOW HIRING)

Five9

Data Center Engineer (in Atlanta, GA)

OR · On-site +1

He/she exhibits a deep understanding of data center technologies, strong analytical and ... Communicate and coordinate with remote hands in remote data centers, providing technical direction ...

Array

Senior Data Analyst

OR · On-site +1

$80/hr

Our private label offerings help drive revenue and increase engagement for our customers while ... As a remote-first company, we're focused on providing opportunities for high performing individuals ...

Parachute Health

Lead Data Analyst

OR · On-site +1

$160K - $200K/yr

About the Role The Lead Data Analyst is the senior individual contributor on our Data Analytics ... We are remote-first with a dedicated NYC office and reimbursement options for co-working spaces.

Upstart

Data Analyst, Home Lending

OR · On-site +1

The Data Analyst, Home Lending role will be critical in strengthening our first-line secured ... Remote Travel requirements As a digital first company, the majority of your work can be ...

Tempus

Senior Data Analyst

OR · On-site +1

$90K - $125K/yr

We're looking for an experienced Senior Data Analyst to help us design and execute on clinical ... Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote ...

Consensus Cloud Solutions

Sr. Data Analyst - Finance

OR · On-site +1

$120K - $130K/yr

We are looking for a data-driven Senior Data Analyst to join our finance team. You will support and ... Fully remote within the U.S. * Open to US-based remote candidates, with a preference for PST/MST ...

Instacart

Senior Data Analyst

OR · On-site +1

$85K - $108K/yr

ABOUT THE TEAM The Financial Data Analytics team is the connective tissue between Finance ... Remote

Formfactor

Senior Data Analyst - Financial Analytics

OR · On-site +1

$132K - $173K/yr

We are seeking a highly skilled and motivated Senior Data Analyst to play a pivotal role in ... A role is remote-eligible only when it is listed as"Remote" in the job location. Skills: Corporate ...

Upstart

Staff Data Analyst, Servicing

OR · On-site +1

$61K - $81K/yr

As the Staff Data Analyst on the Servicing Analytics team, you will play a pivotal role in ... Remote Travel requirements As a digital first company, the majority of your work can be ...

YipitData

Senior Data Product Analyst

OR · On-site +1

Product New York, NY (Remote-Friendly) About the Role YipitData is making one of its most ambitious ... As a Senior Data Product Analyst, you will play a pivotal role in making that vision a reality. You ...

OpenX

Business Intelligence Data Analyst

OR · On-site +1

$93K - $110K/yr

Remote Position Summary: OpenX Technologies, Inc. is looking for a Data Analyst to join our dynamic and high-performing Business Intelligence team within the Finance organization. Our organization ...

Array

FP&A Analyst

OR · On-site +1

$120K/yr

Our private label offerings help drive revenue and increase engagement for our customers while ... As a remote-first company, we're focused on providing opportunities for high performing individuals ...

NinjaTrader

Sr. Data Engineer

OR · On-site +1

$100K - $150K/yr

This role is remote-friendly and reports to the Manager, Data & Analytics Engineering. As a Sr. Data Engineer, your primary responsibility is to stay one step ahead of your fellow team members by ...

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Remote Data Labeling Analyst information

What does a remote data labeling analyst do?

A Remote Data Labeling Analyst is responsible for reviewing, tagging, and annotating data—such as images, videos, text, or audio—to help train machine learning models. Working remotely, they use specialized software to classify or categorize this data according to specific guidelines. Their work is crucial for improving the accuracy and performance of artificial intelligence systems, as well-labeled data enables the AI to learn and make better predictions. This role typically requires attention to detail, consistency, and the ability to follow complex instructions.

What are the key skills and qualifications needed to thrive as a remote data labeling analyst?

To thrive as a Remote Data Labeling Analyst, you need strong attention to detail, analytical thinking, and basic data management skills, typically supported by a high school diploma or higher. Familiarity with annotation tools, data labeling platforms, and sometimes basic programming or spreadsheet software is required. Strong communication, time management, and the ability to work independently are crucial soft skills for excelling remotely. These abilities ensure high-quality, accurate data labeling that directly impacts the effectiveness of AI and machine learning systems.

What are some common challenges faced by remote data labeling analysts, and how can they be addressed?

Remote Data Labeling Analysts often encounter challenges such as maintaining focus during repetitive tasks, managing time effectively across multiple projects, and ensuring high accuracy in labeling complex data sets. To address these challenges, it is helpful to follow structured workflows, take regular breaks to reduce fatigue, and leverage collaboration tools to communicate with team members for clarification or feedback. Staying updated with labeling guidelines and participating in regular training sessions can also help improve both productivity and quality of work.

What is the difference between Remote Data Labeling Analyst vs Remote Data Annotator?

AspectRemote Data Labeling AnalystRemote Data Annotator
CredentialsBasic data labeling skills, familiarity with annotation toolsSimilar credentials, often entry-level
Work EnvironmentRemote, often part of a data teamRemote, typically individual tasks
Industry UsageUsed across AI, machine learning, and data science companiesCommon in AI training data preparation
Job FocusLabeling and categorizing data for machine learningAnnotating data with labels or tags

The Remote Data Labeling Analyst and Remote Data Annotator roles are similar, both involving data labeling tasks in a remote setting. The Analyst may have additional responsibilities like quality checks or data management, but both positions require similar skills and are used widely in AI and machine learning industries.

What are popular job titles related to Remote Data Labeling Analyst jobs in Oregon?

For Remote Data Labeling Analyst jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Remote Data Labeling Analyst jobs in Oregon look for?

The top searched job categories for Remote Data Labeling Analyst jobs in Oregon are:

What cities in Oregon are hiring for Remote Data Labeling Analyst jobs?

Cities in Oregon with the most Remote Data Labeling Analyst job openings:

Remote Data Labeling Analyst jobs near you

Data Center Engineer (in Atlanta, GA)

Five9

OR • On-site, Remote

Full-time

Re-posted 21 days ago

Job description

We are actively seeking an experienced Data Center Engineer for our Infrastructure Reliability team. This person will be responsible for building and installing multiple hardware components that make up the company's infrastructure, focusing on long-term planning, design, and optimization of the data center environment. This position will be working at our data center in Atlanta, GA, five days per week, along with being on call.
This role includes managing hardware, software, and network connections to ensure the reliability, security, and efficiency of the data center's operations. They handle tasks like installing and configuring equipment, troubleshooting issues, performing maintenance, and contributing to disaster recovery planning. He/she exhibits a deep understanding of data center technologies, strong analytical and troubleshooting skills, and excellent communication skills. 

Key Responsibilities:

  • Designing and implementing new data center infrastructure, optimizing for performance and scalability, ensuring security, and planning for future growth
  • Build, manage and maintain company's infrastructure in global data centers
  • Perform equipment installs - compute, network, storage, racks, PDUs, cabling, etc.
  • Closely monitor infrastructure to prevent failures and service degradation
  • Monitor and calculate power usage, power balancing and power availability in each cabinet
  • Ability to collaborate with other engineers and IT professionals to achieve common goals, troubleshooting and resolving issues
  • Communicate and coordinate with remote hands in remote data centers, providing technical direction when needed
  • Maintain asset inventory in DCIM - for both production and lab environments
  • Perform all shipping and receiving duties including RMA activities
  • Maintain impeccable documentation around our datacenter configuration
  • Set standards of excellence for all datacenter operations
  • Performing regular maintenance tasks, such as cleaning, inspecting, and replacing components, to prevent problems and ensure the longevity of the equipment
  • Update and work on tickets and tasks assigned in a timely manner
  • Follow change management process and participate in off hours change windows
  • Provide 24x7 support as needed
  • Participate in on-call rotation, incident response, and root cause analysis for platform reliability issues.
  • Comfortable using command line interfaces
  • Familiarity with Linux and other cli operating systems
  • Familiar with server, storage, internet technologies
  • Ability to lift up to 75 lb.

Requirements:

  • Strong technical knowledge of networking, servers, storage, and virtualization, experience with data center design and implementation, ability to analyze and optimize performance, and project management skills
  • Minimum of 4 years hands on experience with Data Centre technologies - compute, network, storage, cabling, racks, PDUs, etc.
  • Great knowledge and experience with planning cooling, power and space resources Linux/Unix system administration, networking and SAN connectivity skills strongly desired
  • Experience working with vendors (quote-purchase process, RMA processes, support interactions)
  • Coding skills to automate repetitive tasks and gather reporting information
  • Experience supporting 24x7 customer facing production environment
  • Ability to troubleshoot and solve hardware problems independently
  • Bachelor of Science degree in Computer Science or equivalent experience

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