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Hourly Remote Data Annotation Jobs in Colorado (NOW HIRING)

Bioinformatics Analyst I

Denver, CO · On-site +1

$70K - $80K/yr

Remote-US Reporting To: Public Health Team Lead Compensation: $70,000 - $80,000 / year Description ... data. * Familiarity with genomic epidemiology methods, such as MLST typing or outbreak ...

... Managing data in the database -Managing customer communications -Processing reports -All other ... Hourly rate of $18.50 -Lee Hecht Harrison benefit offerings include medical, dental, vision, term ...

Bioinformatics Analyst I

Denver, CO · On-site +1

$70K - $80K/yr

... data. * Familiarity with genomic epidemiology methods, such as MLST typing or outbreak ... Fully remote work (Must be able to provide proof of ability to work in the US upon hire-does not ...

... data. * Familiarity with genomic epidemiology methods, such as MLST typing or outbreak ... Fully remote work (Must be able to provide proof of ability to work in the US upon hire-does not ...

Associate

Denver, CO · On-site +1

$52K - $62K/yr

These responsibilities range from data entry into the client reporting software to compiling ... Employees can choose to be classified as "flex remote" or "flex office" *Compensation range: $52 ...

... our namesake Data Centers. As a preferred vendor for some of the world's premiere property ... hourly, depending on experience (approximately $55,000-$75,000 annually) · Uncapped commission ...

... our namesake Data Centers. As a preferred vendor for some of the world's premiere property ... hourly, depending on experience (approximately $55,000-$75,000 annually) • Uncapped commission ...

They will apply their knowledge and experience to reviewing the data and submitting their findings ... Responsible for the hourly oversight of the negative margin process to ensure the business ...

New

They will apply their knowledge and experience to reviewing the data and submitting their findings ... Responsible for the hourly oversight of the negative margin process to ensure the business ...

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Hourly Remote Data Annotation information

What are the key skills and qualifications needed to thrive as an Hourly Remote Data Annotation Specialist, and why are they important?

To excel as an Hourly Remote Data Annotation Specialist, you need strong attention to detail, accuracy, and familiarity with data labeling concepts, often supported by a high school diploma or equivalent. Proficiency with annotation platforms, labeling tools (like Labelbox or Supervisely), and sometimes basic knowledge of spreadsheets or image/video editing software is typically required. Reliability, time management, and clear communication are vital soft skills for succeeding in a remote, deadline-driven environment. These abilities ensure high-quality, consistent annotations that are critical for training AI models and meeting project requirements.

What are some common challenges faced by hourly remote data annotation workers and how can they be addressed?

Hourly remote data annotation workers often encounter challenges such as repetitive tasks, maintaining high accuracy, and managing time effectively without direct supervision. To address these, it's important to establish a structured daily routine, take regular breaks to prevent fatigue, and utilize any quality control guidelines provided by the employer. Staying in regular communication with team leads or project managers can also help clarify any ambiguities and ensure consistent work quality.

What is the difference between Hourly Remote Data Annotation vs Hourly Remote Data Labeling?

AspectHourly Remote Data AnnotationHourly Remote Data Labeling
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote, flexible hours
Industry UsageCommon in AI/ML projects for training dataCommon in AI/ML projects for training data
Job FocusAdding annotations to data (e.g., bounding boxes, tags)Assigning labels to datasets for model training

Both roles involve working remotely to prepare data for machine learning models. Data annotation typically involves marking specific features within data, while data labeling involves categorizing data into predefined classes. The skills and work environment are similar, making them closely related but distinct tasks within AI data preparation.

What is hourly remote data annotation?

Hourly remote data annotation involves labeling or categorizing data, such as images, text, or audio, for use in machine learning and artificial intelligence projects. Annotators work from home and are usually paid by the hour to review and tag data according to specific guidelines provided by the employer. This work is essential for training algorithms to recognize patterns or interpret information accurately. Data annotation tasks vary and can include image classification, text categorization, or identifying objects within media. It’s a popular entry-level remote job that requires attention to detail and the ability to follow instructions closely.
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What are popular job titles related to Hourly Remote Data Annotation jobs in Colorado? For Hourly Remote Data Annotation jobs in Colorado, the most frequently searched job titles are:
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Bioinformatics Analyst I

Theiagen Genomics

Denver, CO • On-site, Remote

$70K - $80K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 15 days ago


Job description

Bioinformatics Analyst I
Department: Bioinformatics
Employment Type: Full Time
Location: Remote-US
Reporting To: Public Health Team Lead
Compensation: $70,000 - $80,000 / year
Description
About the Company:
Theiagen Genomics is an innovative technology company dedicated to transforming public health and pathogen genomics through advanced technology solutions and a collaborative work culture. At Theiagen we aim to work with state IT and bring these computing resources outside the state infrastructure. Leveraging the affordability, scalability, and security of cloud computing environments resulting in cutting edge technology that can drive your public health interventions. We are a team of experts across academia, government and industry careers who have come together to deliver a world-leading service covering a diverse range of microbial genomics applications. Interested in joining the cause?
Theiagen is a thriving startup at an exciting stage of growth. Having developed organically, we are now seeking a structured approach to scale effectively. Theiagen is looking to add a Bioinformatics Analyst to our growing team. We are looking for a Bioinformatics Analyst to support development efforts to maintain and expand Theiagen's bioinformatics solutions, ensuring the core functionality and stability of our software used in pathogen genomics, under the direction of their Public Health Team Lead.
Key Responsibilities
Analytical Support
  • Assist in providing analytical support for external partners, overseeing activities to support genomic investigations (e.g., pathogen outbreaks), to ensure timely and effective solutions that address partner needs.
  • Assist in the development and delivery of Theiagen training workshops, supporting all aspects from material preparation to logistics and communication with external partners.
  • Contribute informed perspective to development initiatives, including experimental design to validate development work, conducting literature reviews, and thoroughly testing solutions.

Process Improvement
  • Ensure adherence to, and continuous improvement of, internal training and analytical support practices.

Communication and Collaboration
  • Regularly communicate with their Public Health Team Lead to summarize critical information, ensuring alignment on project statuses, challenges, and milestones for informed decision-making.

Learning and Mentorship
  • Seek mentorship from senior team members to develop skills and knowledge, while contributing to a culture of learning and technical excellence within the team.
  • Perform other duties as assigned.

Skills, Knowledge and Expertise
  • Bachelor's degree in bioinformatics, biostatistics, microbiology, molecular biology, or a related field.
  • Demonstrated experience applying bioinformatics tools and workflows to answer biological questions, particularly in pathogen genomics.
  • Proficiency in using standard bioinformatics tools for tasks such as NGS quality assessment, genome assembly, annotation, taxonomic classification, and antimicrobial resistance detection.
  • Basic knowledge of statistical approaches and bioinformatics pipelines for analyzing next-generation sequencing (NGS) data.
  • Familiarity with genomic epidemiology methods, such as MLST typing or outbreak investigation tools.
  • Ability to work on multiple projects in a collaborative team environment with minimal supervision.
  • Strong written and verbal communication skills.
  • Motivation and commitment to advancing public health.

Preferred Skills:
  • Familiarity with public health laboratory processes and workflows.
  • Experience interpreting results from bioinformatics workflows for actionable insights.
  • Familiarity with cloud-based bioinformatics platforms (e.g., Terra.bio, Galaxy) or workflow orchestration tools (e.g., Nextflow, WDL, or Snakemake).
  • Experience with visualization and reporting tools for presenting results.
  • Familiarity with shell scripting and working in UNIX/Linux environments.

Benefits
  • Competitive Compensation
  • Paid Time Off
  • Fully remote work (Must be able to provide proof of ability to work in the US upon hire-does not offer sponsorship at this time)
  • Company supplied phone and computer
  • Medical, Dental, Vision coverage/stipend
  • 401(k) with company match
  • Flexible Spending Accounts
  • Employee Assistance Program
  • Employee Discount Program

Why Join Theiagen Genomics?
  • Be part of a passionate team driving innovation in the pathogen genomics space.
  • Competitive salary, comprehensive benefits, and opportunities for professional development.
  • A culture that values diversity, collaboration, and a commitment to excellence.

Theiagen Genomics is 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 or veteran status.