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Data Annotation Tech Remote Jobs in Michigan (NOW HIRING)

Senior, ML Engineer - VLM

Ann Arbor, MI ยท 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 ...

Help design and build technology solutions across multiple initiatives at the same time ... Hybrid schedule, 4 days in office in Wyoming, MI or Atlanta, GA with 1 day remote What you'll bring ...

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 ...

Data Management Coordinator

Detroit, MI ยท Remote

$26 - $34/hr

Remote We are Growers, We are Wholesalers, We are Producers, We Are Budtenders, We are Retailers ... Partner cross-functionally (ops, finance, IT, analytics) to collect and maintain key data * Bring ...

... technologies. You will partner with Data Engineering, Data Science, Architecture, Infrastructure ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...

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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 the most commonly searched types of Data Annotation Tech jobs in Michigan? The most popular types of Data Annotation Tech jobs in Michigan are:
What are popular job titles related to Data Annotation Tech Remote jobs in Michigan? For Data Annotation Tech Remote jobs in Michigan, the most frequently searched job titles are:
What cities in Michigan are hiring for Data Annotation Tech Remote jobs? Cities in Michigan with the most Data Annotation Tech Remote job openings:

Data Analyst II - Remote Position

Trinityhealth

Livonia, MI โ€ข Remote

Full-time

Re-posted 5 days ago


Job description

Employment Type:Full timeShift:Day ShiftDescription:POSITION PURPOSE

The Data Analyst (II) provides business intelligence support to various department leaders in providing technical and analytic support for strategic and healthcare initiatives within Trinity Health. Applies statistical techniques and quantitative methods in reviewing data to develop scorecards, benchmarking studies, or integrated ad hoc analyses. Contributes to and participates with other teams such as but not limited to: Health Informatics, Trinity Information Services, Supply Chain, Revenue and Finance as needed to provide insights for strategic initiatives to leaders across the healthcare system.

This role supports and manages analytic design, data collection, and measure reporting in accordance with national and professional society standards and supports various healthcare initiatives aligned with organizational goals. Develops analytical and statistical skill set to research and make recommendations on business problems and to develop and implement data driven strategies to support key initiatives. In addition to advanced analytics skills, the Data Analyst (II) role requires knowledge in integrating and preparing large complex datasets from multiple data sources, consolidating them to draw contextual conclusions, and communicating results with healthcare and operational stakeholders, including mid-level management. This role also requires the application of project management concepts in the analytics life-cycle process.

ESSENTIAL FUNCTIONS

Knows, understands, incorporates and demonstrates the Trinity Health Mission, Vision, and Values in behaviors, practices and decisions.

Serves as a subject matter expert by providing analytic consultation in collaboration with other team members (clinical leaders, project managers, other analysts, etc.) in identifying analytics options and opportunities and providing problem solving solutions in support of the project goals.

Responsible for a moderate number of projects that are narrow in scope and moderate complexity including:

  • Reviewing and modifying existing systems including coding, testing, debugging, and documentation
  • Responsibility for the checks for validity and reproducibility of analyses
  • Maintaining routine reporting and ensuring completeness and accuracy of reports
  • Supporting the design and development of datasets from multiple data sources

Researches measure definitions, algorithms, published journal articles and statistical methods to make appropriate recommendations to support organizational goals.

Develops queries to source high-volume, high-dimensionality data from multiple complex databases. Cleans and manipulates data as appropriate for report generation, dashboard creation, or simple to moderately complex statistical analysis.

Regularly monitors performance of many key performance indicators, highlights trends, examines interactions in metrics, and identifies opportunities for improvements to leaders and stakeholders.

Develops portions of presentations, publications, website postings, and applications in collaborations with other stakeholders.

Draws strategic and tactical conclusions from data analyses through summarization, interpretation, and visualization of data so to make recommendations to clinical leadership in an easy-to-understand communication format.

Builds strong relationships internally and collaborates effectively on cross-functional teams. Collaborates with members of various other departments, for example (Supply Chain, Revenue and Finance) to develop integrated ad hoc analyses aligned with organizational goals.

Develops trusted relationships through efficient, high-quality execution of analyses and effective communication regarding expectations and timelines.

Provides technical and operational guidance and direction to Level I Data Analysts and collaboratively works with Senior Healthcare Data Analysts during consultations and presentations.

Works in partnership with Trinity Information Services and other technology teams in support of development and maintenance of data applications, clinical databases, and vendor systems containing clinical content.

Other duties as needed and assigned by the Director, Healthcare Data and Analytics.

Maintains a working knowledge of applicable Federal, State, and local laws and regulations, Trinity Health's Organizational Integrity Program, Standards of Conduct, as well as other policies and procedures in order to ensure adherence in a manner that reflects honest, ethical, and professional behavior.

MINIMUM QUALIFICATIONS

Must possess a comprehensive knowledge of data and analytics as normally obtained through a master's degree in Health Science, Epidemiology, Computer Science, Statistics, Mathematics, Engineering, or other technical concentration, and three to five (3-5) years of relevant operational, technical, healthcare or clinical data analytics experience; or an equivalent combination of education and experience.

Must possess excellent oral and written communication and presentation skills.

Must be well organized and possess the ability to work with minimal supervision, which includes setting one's own priorities and actively seeking direction in case of conflict.

Must be able to make decisions based on logical thinking and ethical principles.

Comprehensive knowledge of quality improvement principles, theory, study design and statistical modeling and possess and ability to continuously learn in these areas.

Advanced Microsoft Office skills required, particularly in Excel.

Proficient working with data in the capacity of a programmer.

Proficiency in statistical or analytic software systems such as SAS, R, SPSS, etc.

Experience with relational databases and general programming languages (SQL or Python).

Experience with various data reporting and visualization software (Tableau, Qlikview, Business Objects, etc.)

Excellent interpersonal skills to foster collaborative partnerships using a team approach to span traditional boundaries within a healthcare setting.

Must be comfortable operating in a collaborative, shared leadership environment.

Must possess a personal presence that is characterized by a sense of honesty, integrity, and caring with the ability to inspire and motivate others to promote the philosophy, mission, vision, goals, and values of Trinity Health.

PHYSICAL AND MENTAL REQUIREMENTS AND WORKING CONDITIONS

Must be able to set and organize own work priorities and adapt to them as they change frequently. Must be able to work concurrently on a variety of tasks/projects in an environment that may be stressful with individuals having diverse personalities and work styles.

Must possess the ability to comply with Trinity Health policies and procedures.

Pay Range- $86,175- $129,263

Our Commitment

Rooted in our Mission and Core Values, we honor the dignity of every person and recognize the unique perspectives, experiences, and talents each colleague brings. By finding common ground and embracing our differences, we grow stronger together and deliver more compassionate, person-centered care. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other status protected by federal, state, or local law.