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Day Shift Remote Data Annotation Jobs in Connecticut

LOVESAC COMPANY

Sr. Engineer, Data & Analytics

Stamford, CT · Remote

$122K - $146K/yr

This position is remote and will report into Lovesac Corporate HUB based in Stamford, CT ... Embed insights into day-to-day decision-making across corporate and field teams. Governance ...

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Day Shift Remote Data Annotation information

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

To excel as a Day Shift Remote Data Annotation Specialist, strong attention to detail, a solid understanding of data labeling concepts, and basic computer literacy are essential, often supported by a high school diploma or equivalent. Familiarity with annotation platforms, data management tools, and sometimes knowledge of specific industry standards or guidelines is typically expected. Excellent time management, communication skills, and the ability to work independently make candidates stand out in this remote role. These capabilities ensure accuracy, efficiency, and reliability in processing and labeling data, which are critical for the quality of machine learning and AI projects.

What is the difference between Day Shift Remote Data Annotation vs Day Shift Remote Data Labeling?

AspectDay Shift Remote Data AnnotationDay Shift Remote Data Labeling
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, computer-basedRemote, computer-based
Industry UsageTech, AI, Machine LearningTech, AI, Machine Learning
Job FocusAdding annotations to datasetsApplying labels to datasets

Both roles involve working remotely in tech and AI industries, requiring similar skills. Data annotation typically involves marking specific features in data, while data labeling focuses on assigning categories. The main difference lies in the terminology and specific task details, but both are essential for training AI models.

What are some common challenges faced by remote data annotation professionals working day shifts, and how can they be managed?

Remote data annotation professionals on day shifts often encounter challenges such as staying focused during repetitive tasks, maintaining high accuracy, and managing communication across distributed teams. To address these, it's helpful to establish a structured daily routine, take regular short breaks to reduce eye strain and fatigue, and use productivity tools to track progress. Proactive communication with team members and supervisors—using chat platforms or regular video check-ins—also helps ensure alignment on project guidelines and fosters a collaborative remote work environment.

What is a Day Shift Remote Data Annotation job?

A Day Shift Remote Data Annotation job involves labeling or tagging data—such as images, text, audio, or video—so that it can be used to train machine learning models. This work is performed remotely, generally during regular daytime business hours. Data annotators follow specific guidelines to ensure accuracy and consistency, making their work crucial for the development of artificial intelligence systems. Some common tasks include identifying objects in images or transcribing spoken words in audio files. The role typically requires attention to detail and basic computer skills, but extensive technical expertise is usually not required.
What are popular job titles related to Day Shift Remote Data Annotation jobs in Connecticut? For Day Shift Remote Data Annotation jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Day Shift Remote Data Annotation jobs in Connecticut look for? The top searched job categories for Day Shift Remote Data Annotation jobs in Connecticut are:
What cities in Connecticut are hiring for Day Shift Remote Data Annotation jobs? Cities in Connecticut with the most Day Shift Remote Data Annotation job openings:
Day Shift Remote Data Annotation jobs near you
Senior Data Modeler (Snowflake)

Senior Data Modeler (Snowflake)

Fusion Consulting

New Haven, CT • On-site, Remote

Full-time

Posted 13 days ago

Job description

Company Description

Swiss Delivery Excellence: Transforming Life Science Consulting Worldwide.

Fusion Consulting is a globally leading Business and IT boutique consultancy specialized in the Life Sciences industry, partnering with leading companies in pharma, healthcare, and animal health.

With over 450 employees and 25 offices worldwide, our mission is to revolutionize our clients' business transformation challenges and set new industry standards through innovative solutions.

Focused on S4HANA, Data & Cloud, and innovative technologies, Fusion Consulting brings unparalleled expertise and commitment to excellence to every project we undertake.

Grounded in our commitment to fast and intelligent decision-making, our client-first and open-hearted approach defines our ethos. With unwavering support and an entrepreneurial spirit, our global teamwork transcends boundaries and turns shared visions into reality.

Job Description

We are looking for a skilled and motivated Data Modeler (Snowflake) to support the integration of regional data warehouses into a centralized Snowflake-based data platform for our clients in the pharmaceutical industry. This mid-level role is ideal for candidates with a strong foundation in physical data modeling and implementation, particularly within Snowflake, and who can collaborate across data engineering, architecture, and governance teams. You'll play a vital role in ensuring the data platform is efficient, scalable, and compliant with best practices and governance standards.
What You Will Be Doing:

  • Design and implement physical data models in Snowflake, focusing on scalability, performance, and maintainability.
  • Translate conceptual and logical models into Snowflake-ready schemas, tables, and views.
  • Collaborate with data engineers to refine ETL/ELT processes and data integration patterns.
  • Align models and metadata with governance standards and tools, including Collibra.
  • Ensure all modeling and transformation logic is well-documented for traceability and compliance.
  • Support performance tuning and optimization of data pipelines.
  • Work in a distributed, global environment with both technical and business stakeholders.
Qualifications
  • 4–7 years of experience as a Data Modeler or similar role.
  • Proven expertise in Snowflake physical data modeling and SQL.
  • Understanding of data integration and ETL/ELT principles; experience with tools like dbt, Matillion, or Fivetran is a plus.
  • Experience with Data Vault 2.0 is a must
  • Experience with metadata and data governance platforms, ideally Collibra.
  • Familiarity with AWS services, particularly S3 is a plus
  • Solid grasp of data modeling best practices (e.g., star schema, normalization, data vault).
  • Ability to work independently in a remote, cross-functional environment.
  • Excellent communication and documentation skills.


Preferred:

  • Experience in pharmaceutical/life sciences data and regulatory frameworks.
  • Familiarity with data quality tools such as Ataccama.

Additional Information

WHY YOU SHOULD JOIN FUSION:

At Fusion, you’ll join a diverse team of talented professionals from around the world, united by a passion for delivering impactful digital transformation in the life sciences industry. You’ll be part of a flat-structured, collaborative organization where decisions are made efficiently, and your expertise directly shapes client outcomes.

You’ll work alongside experienced consultants on complex, meaningful projects that demand both precision and innovation. Our culture emphasizes continuous learning, open knowledge sharing, and cross-functional teamwork—empowering you to grow both professionally and personally.

Joining Fusion means becoming part of a company that:

  • Builds strong, trusted partnerships with clients, delivering tailored solutions that create real business value.
  • Drives delivery excellence, holding ourselves accountable for the quality and impact of every outcome.
  • Encourages entrepreneurial thinking, empowering you to take initiative, solve problems, and lead change.
  • Operates with a truly global mindset, where diverse perspectives, cultures, and collaboration fuel our success.

WHAT WE OFFER - FUSION BENEFITS

We’ve designed our benefits to support your growth, well-being, and global mobility.

Flexibility & Balance

  • Work from Anywhere: Enjoy up to 25 days per year of remote work from any global location.
  • Recharge Freely: Take the time you need with flexible time off—beyond standard holiday allowances.
  • Connect as a Team: Use your team’s integration budget to meet, collaborate, and bond.
  • Celebrate Your Birthday: Receive a special gift from Fusion on your birthday.

Growth & Development

  • Invest in Your Learning: Access CHF 1,500 annually for professional development.
  • Grow Your Skills: Join regular workshops and trainings to strengthen technical and soft skills.
  • Advance Continuously: Build the mindset, confidence, and capabilities to grow your career on your terms.
  • Shape an Inclusive Culture: Thrive in a workplace where your individuality is valued, and your voice drives meaningful change.

Recognition & Reward

  • Earn What You’re Worth: Receive a competitive salary and benefits package that reflects your impact.
  • Refer Talent: Get rewarded for recommending new hires through our referral program.
  • Stay Rewarded: Access loyalty-based benefits starting from your third year via the Unity Scheme.

Global Mobility & Local Support

  • Relocate with Ease: Receive financial assistance when moving for work.
  • Navigate Global Moves: Get help with visas, permits, and international assignments.
  • Benefit Locally: Enjoy perks tailored to your country of residence.
  • Collaborate Globally: Work in a diverse, inclusive culture where global teamwork drives success.

OUR SELECTION PROCESS:

Your time is valuable. That’s why our hiring process is clear, efficient, and focused on mutual fit:

Upload Your CV – Submit your application using the relevant button, depending on the job platform (approx. 3 minutes).

Wait for Profile Review – Our Talent Acquisition team will assess your CV and experience (approx. 2 weeks).

Join an Introductory Call – Our Talent Acquisition team will arrange a brief conversation (15–30 minutes via Teams or phone) to tell you more about Fusion, the role, and understand your expectations.

Attend a Technical Interview – Participate in a 30-minute session with one of our experts to discuss your skills and experience in more detail.

Participate in a Client Interview (if applicable) – For some roles, you may be invited to a client-facing discussion (30–60 minutes online).

Receive Final Feedback – We aim to share timely feedback and move forward quickly.

Fusion is an equal opportunity employer. We value diversity and are committed to fostering an inclusive workplace for all.