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Data Annotation Tech Remote Jobs in Minnesota (NOW HIRING)

Genesis10

Data Engineer - 100% Remote

Rochester, MN · Remote

$75 - $78/hr

Genesis10 is currently seeking a Data Engineer - Remote position with a Renowned Healthcare ... Drive exploration of new features, versions, and related technologies, and provide recommendations ...

Da Vinci Software

Senior Data Engineer (Remote)

Rochester, MN · On-site +1

$102K - $140K/yr

Bachelor's degree in Computer Science, Information Technology or related field; OR equivalent 5+ ... data assets using batch and/or streaming processes. Additional Information: * Fully Remote * W2 ...

Da Vinci Software

Senior Data Engineer (Remote)

Rochester, MN · On-site +1

$102K - $140K/yr

Bachelor's degree in Computer Science, Information Technology or related field; OR equivalent 5+ ... data assets using batch and/or streaming processes. Additional Information: * Fully Remote * W2 ...

Accelint

Teamcenter Data Architect

Saint Paul, MN · On-site +1

$113K - $154K/yr

We build the technologies that help operators and organizations see what's happening, make faster ... Teamcenter Data Architect * Full Time * Remote or Hybrid The Teamcenter Data Architect plays a key ...

Accelint

Teamcenter Data Architect

Saint Paul, MN · On-site +1

$113K - $154K/yr

We build the technologies that help operators and organizations see what's happening, make faster ... Teamcenter Data Architect * Full Time * Remote or Hybrid The Teamcenter Data Architect plays a key ...

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Data Annotation Tech Remote information

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 popular job titles related to Data Annotation Tech Remote jobs in Minnesota? For Data Annotation Tech Remote jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Data Annotation Tech Remote jobs in Minnesota look for? The top searched job categories for Data Annotation Tech Remote jobs in Minnesota are:
Data Annotation Tech Remote jobs near you
Software Architect - Industrial Technology (Remote)

Software Architect - Industrial Technology (Remote)

SymphonyAI

Minneapolis, MN • On-site, Remote

Full-time

Posted 18 days ago

Job description

Introduction
Job Title:
Software Architect
Overview:
SymphonyAI Industrial is a global leader in Industrial AI, enabling manufacturers and asset-intensive enterprises to transform fragmented IT, OT, and edge data into real-time, contextual intelligence that improves uptime, throughput, and operational efficiency.
Our platform is built on Vertical AI - domain-aware models, ontologies, and knowledge graphs that understand industrial operations from day one. We are seeking a Software Architect to join our customer applications team and play a defining role in shaping the future of our industrial AI platform.
This role is for a senior architect with a deep curiosity for how systems really work - someone who enjoys reverse-engineering complex platforms, challenging assumptions, and designing forward-looking architectures while staying hands-on and closely connected to engineering teams.
Job Description
Responsibilities:
  • Own and evolve the platform-level architecture across cloud, edge, data, and AI systems, with a focus on scalability, resilience, and long-term extensibility.
  • Design end-to-end system architectures, from industrial data ingestion and microservices to AI/ML workflows and user-facing applications.
  • Act as a technical thought partner to engineering, ML, and product leaders - shaping decisions early rather than reviewing them late.
  • Reverse engineer existing systems, legacy platforms, and third-party integrations to uncover constraints, risks, and opportunities for modernization.
  • Define and document clear architectural patterns, reference designs, and system flows that accelerate development and reduce ambiguity.
  • Drive adoption of modern, cloud-native and event-driven architectures, including microservices, APIs, orchestration, and data pipelines.
  • Stay current on emerging technologies across AI, distributed systems, and developer platforms - prototyping and validating where appropriate.
  • Lead by example through hands-on technical engagement, design reviews, and selective code contributions.
  • Identify systemic bottlenecks, architectural debt, and scaling risks - and proactively drive solutions.

Required Skills & Qualifications:
  • A strong innovation mindset - you enjoy ambiguity, experimentation, and designing systems that don't yet have clear precedents.
  • Proven experience architecting large-scale, distributed, data-intensive platforms, ideally with AI-enabled components.
  • Deep understanding of microservice architecture, cloud-native design, APIs, messaging/eventing, and distributed data systems.
  • Strong full-stack technical depth, with the ability to reason about backend services, data platforms, and modern front-end architectures.
  • Practical exposure to AI/ML systems, such as model integration, inference pipelines, feature stores, or analytics workflows.
  • Exceptional ability to communicate architecture visually and clearly through diagrams, flows, and written documentation.
  • A collaborative leadership style-you elevate teams through partnership rather than command-and-control.
  • Experience in industrial, enterprise SaaS, or complex platform environments is highly valued.

Requirements / Qualifications:
  • Bachelor's or Master's degree in Computer Science, Engineering, or equivalent practical experience.
  • 10+ years of software engineering experience, with 5+ years in senior or principal-level architecture roles.
  • Strong proficiency in modern programming languages (e.g., Python, Java, C#, TypeScript).
  • Extensive experience with cloud platforms (AWS, Azure, or GCP), containers, and CI/CD pipelines.
  • Familiarity with AI/ML frameworks, data platforms, and analytics systems.
  • Outstanding systems thinking, problem-solving, and communication skills.

Diversity & Inclusion Statement:
We are committed to building a diverse and inclusive team and encourage candidates from all backgrounds to app
About Us
SymphonyAI is building the leading enterprise AI SaaS company for digital transformation across the most critical and resilient growth industries, including retail, consumer packaged goods, financial crime prevention, manufacturing, media, and IT service management. Since its founding in 2017, SymphonyAI today serves 1500+ Enterprise customers globally and has grown to 3,000 talented leaders, data scientists, and other professionals across over 30 countries.

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