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Flexible Data Labeling Analyst Jobs in Indiana (NOW HIRING)

Gather and analyze client business requirements, documenting required functionality and uncovering ... labels/policies, DLP, records management, and data lifecycle management. * Implement Purview ...

Gather and analyze client business requirements, documenting required functionality and uncovering ... labels/policies, DLP, records management, and data lifecycle management. * Implement Purview ...

Data Architect

Indianapolis, IN · On-site

$61 - $78.50/hr

Lead the endtoend design of data architectures supporting analytics, AI/ML, and operational ... Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts * Short-Term ...

Data Architect

Indianapolis, IN · On-site

$100 - $150/hr

Lead the end‐to‐end design of data architectures supporting analytics, AI/ML, and operational ... Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts* Short-Term ...

Data Architect

Anderson, IN · On-site +1

$55.25 - $71/hr

You will collaborate with leading professionals in data analysis and processing, as well as in ... We are flexible! We have flexible hours and intensive working hours during the summer months. In ...

Data Engineer

New Albany, IN · On-site +1

$105K - $127K/yr

You will collaborate with leading professionals in data analysis and processing, as well as in ... We are flexible! We have flexible hours and intensive working hours during the summer months. In ...

Data Engineer

Merrillville, IN · On-site

$112K - $134K/yr

UNDERSTANDING The Data Analyst/Programmer is responsible for leveraging organizational data for the ... An adaptable and flexible attitude, allowing them to approach and solve a problem by examining it ...

Data Engineer

Merrillville, IN · On-site

$112K - $134K/yr

Description UNDERSTANDING The Data Analyst/Programmer is responsible for leveraging organizational ... An adaptable and flexible attitude, allowing them to approach and solve a problem by examining it ...

... and labelling is accurate. The Eurofins network of companies is the global leader in food ... Document laboratory work in notebooks/electronic notebooks and log books, perform data integrity ...

$84K - $111K/yr

Define and maintain reporting standards, allocation logic, and tagging/labeling requirements to ... data-driven conclusions * Hands-on experience building and maintaining dashboards in Apptio ...

Showing results 21-40

Flexible Data Labeling Analyst information

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

AspectFlexible Data Labeling AnalystData Annotator
CredentialsHigh school diploma or equivalent; some roles prefer certifications in data labeling or related fieldsHigh school diploma or equivalent; minimal certifications typically required
Work EnvironmentOffice or remote; collaborative with data science teamsPrimarily remote or on-site; focused on labeling tasks
Industry UsageUsed across AI, machine learning, and data science projectsCommonly used in AI training data preparation

The Flexible Data Labeling Analyst and Data Annotator roles both involve data labeling tasks, but the analyst often has broader responsibilities, including quality control and process improvement, while the annotator focuses mainly on labeling data. The analyst may require additional skills in data management and communication, making their role more strategic within data projects.

What is a flexible data labeling analyst?

Flexible Data Labeling Analysts are professionals who annotate, categorize, and tag data—such as images, audio, or text—according to specific guidelines, often as part of training data for machine learning models. The 'flexible' aspect usually refers to the ability to work remotely, set variable hours, or handle diverse types of data projects. Their work is crucial for ensuring that artificial intelligence systems can learn from accurately labeled datasets. This role requires attention to detail, basic technical skills, and sometimes familiarity with the subject matter being labeled. Flexible Data Labeling Analysts may work on a freelance, contract, or part-time basis.

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

To thrive as a Flexible Data Labeling Analyst, you need strong attention to detail, analytical skills, and a solid understanding of data labeling concepts, typically supported by a high school diploma or equivalent. Familiarity with data annotation tools, spreadsheets, and sometimes basic programming or scripting languages is often required. Excellent communication, adaptability, and time management are crucial soft skills for handling varied projects and meeting quality standards. These skills ensure accurate data labeling, which is vital for training reliable AI and machine learning models.

What are some common challenges faced by flexible data labeling analysts, and how can they be managed effectively?

Flexible Data Labeling Analysts often encounter challenges such as maintaining high accuracy while working with large volumes of data, adapting to different labeling guidelines across projects, and managing time effectively when working remotely or on a flexible schedule. To succeed, it's important to develop strong attention to detail, regularly review project instructions, and communicate proactively with team leads or project managers. Utilizing collaboration tools and participating in team check-ins can also help ensure that questions are addressed quickly and consistent standards are maintained across the team.

Data Center Technician

Noblesoft Technologies

Indianapolis, IN • On-site

Contractor

Re-posted 5 days ago


Job description

Title         : Data Center Technician

Location : Indianapolis IN (onsite)

About Job role -

A Smart Hands Support technician, also referred to as a Data Center Smart Hands technician, provides on-site technical support for IT infrastructure within data centers or colocation facilities. Acting as the on-site representative for remote IT teams, this position performs tasks requiring physical presence and technical proficiency beyond basic remote support. The Smart Hands Network and Telecom Technician offers on-site support for network and telecommunications infrastructure, executing installation, maintenance, troubleshooting, and configuration duties for network and telecom equipment in data centers or client locations while maintaining operational standards, timely issue resolution, and accurate documentation.

 

Key responsibilities

  • Hardware Management: Installing, configuring, replacing, and decommissioning servers, switches, routers, and other equipment within data center racks.
  • Remote Team Collaboration: Coordinating with remote engineering teams and stakeholders to implement configurations and resolve issues.
  • Documentation & Reporting: Documenting activities, maintaining service logs, and updating remote teams or project managers.
  • Inventory & Auditing: Assisting with asset management through physical audits, labeling, tracking, and monitoring inventory.
  • Emergency Response: Responding to emergencies and participating in on-call rotations as needed.
  • Safety & Compliance: Following safety protocols and adhering to operational procedures and change management policies.
  • Network Hardware Management: Includes racking, stacking, installing, configuring, replacing, and decommissioning network equipment such as switches, routers, firewalls, and servers.
  • Telecom Infrastructure Support: Supporting telephony hardware and applications (analog, ISDN, SIP, etc.), installing and relocating telecom assets, and performing equipment testing and troubleshooting.
  • Cabling and Connectivity: Managing, installing, and tracing network and power cables, ensuring organization, labeling, and testing of connectivity.
  • Troubleshooting and Diagnostics: Addressing physical connectivity issues, diagnosing hardware, software, and network problems, and conducting power cycles and signal testing.
  • Maintenance and Repairs: Performing routine maintenance, hardware upgrades, emergency repairs, assisting with system updates, and replacing faulty components.

 

Qualifications

Education: High school diploma or GED required; technical school training or relevant experience preferred; certifications such as CompTIA Network+ or CCNA are beneficial.

Experience: Minimum of 2 years in network/telecom support, field service, or data center operations preferred; experience with OEM network devices and fiber optic cabling is an asset.

Technical Skills: Knowledge of networking concepts (OSI Layers 2 & 3), protocols (TCP/IP), cabling, data center operations, and basic telecom systems; ability to interpret technical diagrams, use hand tools, and familiarity with remote access tools and ticketing systems.

Soft Skills: Proficient troubleshooting, problem-solving, communication (written and verbal), attention to detail, time management, organizational abilities, and capacity to work both independently and collaboratively; customer service skills required.

Physical Requirements: Able to lift up to 50 pounds, climb ladders, work in confined spaces, and perform physically demanding tasks.

Availability: Flexible to work various shifts, participate in on-call rotations, and travel reliably to client sites when required using own vehicle