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Data Annotation Research Jobs in Minnesota (NOW HIRING)

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Data Annotation Research information

What qualifications do I need for data annotation?

Data annotation research roles typically require basic computer skills, attention to detail, and familiarity with annotation tools or platforms. A high school diploma or equivalent is usually sufficient, though some positions may prefer experience with data labeling, machine learning concepts, or specific software. Strong communication skills and the ability to work independently are also beneficial.

What are some common challenges faced in Data Annotation Research roles, and how can they be addressed?

Professionals in Data Annotation Research often encounter challenges such as maintaining consistency in labeling, dealing with ambiguous data, and managing large datasets efficiently. These issues can be addressed by following detailed annotation guidelines, participating in regular calibration sessions with the team, and utilizing annotation tools that support quality control checks. Collaboration with data scientists and project managers is essential to clarify ambiguities and ensure that annotated data meets the project's requirements. Staying proactive in communication and continuous learning helps to minimize errors and improve overall data quality.

Does data annotation actually pay?

Data annotation research jobs typically pay hourly or per task rates, with wages ranging from minimum wage to higher rates depending on experience and complexity of the work. Many positions are freelance or remote, requiring basic skills in data labeling tools and attention to detail. Payment is generally reliable, but rates vary by employer and project.

How hard is it to get hired by data annotation?

Getting hired for a data annotation research role typically requires basic computer skills, attention to detail, and sometimes familiarity with annotation tools or platforms. Many positions are entry-level and do not require advanced education, making the hiring process relatively accessible for those with the right skills and reliability.

What is the difference between Data Annotation Research vs Data Labeling Specialist?

AspectData Annotation ResearchData Labeling Specialist
CredentialsTypically requires a background in data science, research methods, or related fieldsOften requires basic technical skills and experience with labeling tools
Work EnvironmentResearch labs, tech companies, or remote research teamsData centers, tech companies, or remote labeling teams
Industry UsageUsed in AI/ML research, developing annotation methodologiesUsed in preparing datasets for machine learning models
Search & Comparison IntentUnderstanding research-focused roles in data annotationLooking for practical data labeling jobs

Data Annotation Research involves exploring new annotation techniques and improving data quality for AI models, often requiring research skills. In contrast, Data Labeling Specialists focus on applying existing labeling tools to annotate datasets efficiently. Both roles are essential in AI development but differ in scope and expertise.

Is data annotation real or fake?

Data annotation is a real and essential process in machine learning and AI development, involving labeling data such as images, text, or audio to train algorithms. Data annotation jobs require attention to detail and often use tools like labeling platforms or software, making them a legitimate employment opportunity in the tech industry.

What is data annotation research?

Data annotation research involves studying and developing methods for labeling data, such as images, text, or audio, to be used in training machine learning models. Researchers in this field focus on improving annotation accuracy, efficiency, and scalability, as well as addressing challenges like bias and consistency. This work is critical because high-quality annotated data is essential for building effective AI systems. Data annotation research often includes exploring new tools, techniques, and guidelines for human annotators or automated labeling systems.

What are the key skills and qualifications needed to thrive as a Data Annotation Researcher, and why are they important?

To thrive as a Data Annotation Researcher, you need strong attention to detail, analytical thinking, and familiarity with data labeling concepts, often supported by a degree in computer science, linguistics, or a related field. Experience with annotation platforms, data management tools, and sometimes knowledge of programming languages like Python are typically required. Excellent communication, problem-solving abilities, and the capacity to work independently set standout contributors apart. These skills ensure high-quality, accurate data labeling, which is crucial for developing reliable AI and machine learning models.
What are popular job titles related to Data Annotation Research jobs in Minnesota? For Data Annotation Research jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Data Annotation Research jobs in Minnesota look for? The top searched job categories for Data Annotation Research jobs in Minnesota are:
Data Annotation Research jobs near you

Scientist, Microbiome Data Science & Bioinformatics

Ferring Pharmaceuticals

Roseville, MN • On-site

$115K - $152K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago

Job description

Job Description:
As a privately-owned, biopharmaceutical company, Ferring pioneers and delivers life-changing therapies that help people build families and live better lives. Our independence helps us cultivate an entrepreneurial spirit and long-term perspective that enables us to achieve growth and scale, while remaining agile and true to our 'people first' philosophy. Built on a 70-year plus commitment to science and research, Ferring is relentless in its pursuit of science that drives powerful discoveries and therapies to help people build families, stay healthy, and stand up to the world's oldest enemy: disease.
The Scientist (Microbiome Data Science & Bioinformatics) will translate large datasets into mechanistic and therapeutic hypotheses through omics analysis approaches and create novel analytical methods. We are looking for someone who enjoys a fast-paced environment, effectively collaborates with others, and who can apply their expertise to fuel biological discoveries and analytical advancement.
With Ferring, you will be joining a recognized leader, identified as one of "The World's Most Innovative Companies" by Fast Company, and honored by Fortune with inclusion on its "Change the World List," for addressing society's unmet needs. Ferring US is also Great Places to Work® Certified, distinguishing it as one of the best companies to work for in the country.
Responsibilities:
  • Lead qualitative and quantitative human microbiome research, including data mining, data analyses, and interpretation of findings from clinical trials and research studies that align with company goals
  • Create, curate and maintain datasets, databases and resources for annotation and use of complex omics data
  • Lead integrated data mining and translation of bioinformatic insights for R&D, pre-clinical and clinical initiatives
  • Conceptualize, building, test, and benchmark gold standard and novel bioinformatic methods
  • Use and improve continuous deployment models, containerization, cloud computing, and agile practices
  • Independently achieve project-specific deliverables with stakeholders (internal and external) through collaboration, requirements gathering, and timeline management
  • Contribute to publications in peer-reviewed journals, as well as any methodological innovations
  • Effectively present and defend scientific work in the form of internal and external presentations
  • Critically evaluate primary literature for design and analysis of appropriate experiments to reach timely project Go/No-Go decisions
  • Continuously learn in the fields of bioinformatics, computer science and biology including the latest methodologies, techniques, and resources

Requirements:
  • Advanced degree (e.g. MS or Ph.D.) in bioinformatics, genomics, biostatistics or related biological field
  • Minimum of one year of experience in the field of omics sciences, preferably the microbiome
  • Proficiency in developing, deploying, and running cloud-based bioinformatic workflows
  • Proven experience in Linux, AWS, coding in Python and R
  • Excellent writing, communication, and other organizational skills including documentation & data organization
  • Proven experience in statistical computing for data mining, exploratory analysis and biomarker discovery related to the microbiome or other -omes

Ferring + you
At Ferring, we offer competitive total compensation along with an exceptional range of flexible benefits, personal support and tailored learning and development opportunities all designed to help you realize your full potential both in life and at work. From working hours that respect your lifestyle, a culture that is welcoming and equitable, and the chance to work with the industry's most impressive people, these are just some of the ways we live our "People First" philosophy.
Our Compensation and Benefits
At Ferring, base salary is one part of our competitive total compensation and benefits package and is determined using a salary range. The base salary range for this role is $115,000 to $152,000, which is the reasonable estimate of the base compensation for this role. The actual amount paid may differ based on non-discriminatory factors such as experience, knowledge, skills, abilities, education and primary work location. Additional compensation for this role will be provided based on competitive annual incentive compensation targets in the form of an annual bonus - payouts are based on individual and company performance.
Benefits for this role include comprehensive healthcare (medical, dental, and vision) with a premium differential, inverse to base salary, to be paid by employees, a 401k plan and company match, short and long-term disability coverage, basic life insurance, wellness benefits, reimbursement for certain tuition expenses, sick time of 1 hour per 30 hours worked, vacation time for full time employees to accrue up to 120 hours in the first four (4) years of employment, and 160 hours in the fifth (5th) year of employment as well as 15 paid holidays per year. We are proud to offer paid parental leave subject to a minimum period of employment at Ferring.
Ferring is an equal opportunity employer. All aspects of employment will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local laws.
Join our team and your voice will be heard, and your contributions will be valued. If you love to come up with new ways to make a positive difference and see them through, you will fit right in.
We are proud to be an Affirmative Action/Equal Opportunity Employer (including Disability/Protected Veterans). We maintain a drug-free workplace.
Location:
Roseville, Minnesota

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