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Data Annotation Tech Remote Jobs in Detroit, MI (NOW HIRING)

Torc Robotics

Senior, ML Engineer - VLM

Ann Arbor, MI · On-site +1

$102K - $140K/yr

About the Company At Torc, we have always believed that autonomous vehicle technology will ... data engines for annotation and verification. * High-throughput model serving - vLLM, SGLang, or ...

micro1 AI

AI Data Trainer - MS Suite - Remote

Detroit, MI · Remote

$35 - $50/hr

Remote micro1 is engaging Business Document Experts (Excel, PowerPoint, Word) to participate in a ... consulting, tech, retail, or related industries. * Extensive proficiency with advanced Excel ...

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All JobsData Annotation Tech JobsData Annotation Tech Remote JobsData Annotation Tech Remote Jobs in Detroit, MI

Data Annotation Tech Remote information

See Detroit, MI salary details

$12

$22

$34

How much do data annotation tech remote jobs pay per hour?

As of Jul 24, 2026, the average hourly pay for data annotation tech remote in Detroit, MI is $22.61, according to ZipRecruiter salary data. Most workers in this role earn between $16.63 and $26.88 per hour, depending on experience, location, and employer.

What is the difference between Data Annotation Tech Remote vs Data Labeling Specialist?

AspectData Annotation Tech RemoteData Labeling Specialist
CredentialsBasic technical skills, sometimes certifications in data annotation toolsSimilar credentials, often with experience in labeling software
Work EnvironmentRemote, often freelance or contract-basedRemote or on-site, depending on employer
Industry UsageUsed across AI, machine learning, and data science companiesCommon in AI, autonomous vehicles, and tech firms

Both roles involve labeling data for machine learning models, with similar credentials and remote work options. The main difference lies in job titles used by employers, but their responsibilities and industry applications overlap significantly.

What are Data Annotation Tech Remote jobs?

Data Annotation Tech Remote jobs involve working from home or another remote location to label, tag, or classify data such as text, images, audio, or video. This work is essential for training and improving artificial intelligence and machine learning models. Data annotators use specialized software tools to accurately identify and categorize data according to specific guidelines provided by employers. These roles require attention to detail, consistency, and sometimes subject-matter expertise, depending on the project. Remote data annotation jobs are popular because they often offer flexible schedules and the ability to work from anywhere.

What are some common challenges faced by remote Data Annotation Technicians, and how can they be addressed?

Remote Data Annotation Technicians often encounter challenges such as maintaining consistent annotation quality, managing repetitive tasks, and ensuring clear communication with team leads or project managers. To address these, it's helpful to establish a structured daily routine, use collaboration tools to stay connected with the team, and regularly review project guidelines to ensure accuracy. Many organizations also provide feedback loops and quality assurance checks, so being proactive in seeking feedback can help improve performance and job satisfaction.

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

To excel as a Data Annotation Tech (Remote), you need attention to detail, basic computer literacy, and familiarity with data labeling practices, often supported by a high school diploma or equivalent. Proficiency with annotation tools such as Labelbox, Supervisely, or proprietary platforms is typically required, and training in data privacy or quality assurance may be beneficial. Strong communication, time management, and the ability to focus independently are standout soft skills for this remote role. These competencies are crucial to ensure accurate, high-quality data labeling that directly impacts the effectiveness of AI and machine learning models.
What are the most commonly searched types of Data Annotation Tech jobs in Detroit, MI? The most popular types of Data Annotation Tech jobs in Detroit, MI are:
What are popular job titles related to Data Annotation Tech Remote jobs in Detroit, MI? For Data Annotation Tech Remote jobs in Detroit, MI, the most frequently searched job titles are:
What job categories do people searching Data Annotation Tech Remote jobs in Detroit, MI look for? The top searched job categories for Data Annotation Tech Remote jobs in Detroit, MI are:
What cities near Detroit, MI are hiring for Data Annotation Tech Remote jobs? Cities near Detroit, MI with the most Data Annotation Tech Remote job openings:
Data Annotation Tech Remote jobs near you
Infographic showing various Data Annotation Tech Remote job openings in Detroit, MI as of July 2026, with employment types broken down into 2% Locum Tenens, 33% Full Time, 26% Part Time, 2% Contract, 36% Nights, and 1% Summer. Highlights an 56% Physical, 1% Hybrid, and 43% Remote job distribution, with an average salary of $47,035 per year, or $22.6 per hour.

Strategic Sourcing Specialist IT (Remote)

iShare Inc

Detroit, MI • Remote

Full-time

Posted 11 days ago

Job description

We’re seeking a Strategic Sourcing Specialist with a strong background in IT and Professional Services procurement and category management to lead fast-cycle sourcing events, negotiate commercial/contract terms, and optimize total cost of ownership across professional services, software, cloud, hardware, and IT services. This is a remote contract
.

Engagement Details
 • Type: Contract
 • Duration: 3 -6 months (possible extension)
 • Location: Remote (U.S. EST hours)
 • 
  
 
What You’ll Do (Key Responsibilities)
 • Category Strategy: Own assigned Professional services and IT spend categories (e.g., Consulting, SaaS, Cloud/Infrastructure, End-User Devices, Managed Services); assess market dynamics, benchmarks, and savings levers; build and execute sourcing strategies aligned to stakeholder goals.
 • Sourcing Execution: Run end-to-end RFI/RFP/RFQ cycles (requirements, scoring, supplier Q&A, demos, commercial analysis), and down-select vendors.
 • Negotiations: Lead commercial and contractual negotiations (pricing, rate cards, milestones, SLAs, service credits, EULA terms, data privacy, security exhibits, and renewals).
 • Contracting & Risk: Partner with Legal/InfoSec/Privacy to finalize MSAs, SOWs, DPAs, SLAs, and ensure compliance (e.g., SOC 2, ISO 27001, GDPR, HIPAA as applicable).
 • Financial Outcomes: Deliver measurable savings, cost avoidance, and improved TCO; validate and document benefits with Finance (should-cost models, benchmarking, and clean-sheeting where relevant).
 • Supplier Management: Execute vendor due diligence, performance scorecards, QBRs, and corrective action plans; support rapid supplier onboarding.
 • Renewals & Demand Management: Rationalize licenses, right-size entitlements, and avoid shelf-ware; optimize term lengths, uplift caps, and renewals calendars.
 • Stakeholder Partnership: Translate business needs into sourcing plans; facilitate decision meetings; provide clear market intel and options trade-offs.
 • Data & Tools: Maintain sourcing pipeline, dashboards, and contract repositories; ensure clean data for audit and reporting.
Required Qualifications
 • 3+ years of IT sourcing/ Professional services sourcing experience with demonstrated category management ownership.
 • Proven success running competitive events and negotiating complex IT agreements (SaaS, cloud/IaaS, software licenses, managed services, hardware).
 • Strong command of contract constructs (MSA/SOW, SLAs/service credits, termination, indemnities, liability caps, audit, data privacy/security, IP).
 • Comfort with supplier risk and compliance reviews in partnership with Legal/InfoSec/Privacy.
 • Data-driven: pricing analysis, TCO, scenario modeling, and savings/benefits tracking.
 • E
 

This is a remote position.