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Internship Remote Data Labelling Jobs in Florida

... Data Analytics and Business Intelligence Services and Information Technology Services. Position Types: Full-Time/Part-Time/Internship Work Location: Various positions available, hybrid remote/in ...

Our trendsetting interns learn hands-on what it takes to be a staff accountant for a growing ... Some positions at Novogradac may be open to remote or hybrid work arrangements depending on ...

Our trendsetting interns learn hands-on what it takes to be a staff accountant for a growing ... Some positions at Novogradac may be open to remote or hybrid work arrangements depending on ...

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Internship Remote Data Labelling information

What are the key skills and qualifications needed to thrive as an Internship Remote Data Labelling professional, and why are they important?

To excel as an Internship Remote Data Labelling professional, you need strong attention to detail, basic computer literacy, and familiarity with data annotation processes, often requiring at least a high school diploma or equivalent. Experience with data labelling platforms such as Labelbox or Supervisely, and understanding file formats like CSV or JSON, are commonly expected. Reliability, time management, and effective communication are important soft skills for remote collaboration and meeting deadlines. These competencies ensure high-quality, consistent data labelling that supports accurate machine learning model development.

What is the difference between Internship Remote Data Labelling vs Data Annotation Specialist?

AspectInternship Remote Data LabellingData Annotation Specialist
CredentialsTypically students or entry-level with basic computer skillsOften requires experience or training in data annotation tools
Work EnvironmentRemote, flexible hours, internship settingRemote or on-site, professional setting
Employer & IndustryTech companies, AI startups, research projectsAI, machine learning, data services companies
Search & Comparison IntentLearning opportunity, entry-level roleProfessional data labeling work, career development

Internship Remote Data Labelling typically involves entry-level, temporary roles focused on training and learning, often suitable for students. Data Annotation Specialists are more experienced professionals performing detailed labeling tasks for ongoing projects. While both roles involve data labeling, the internship emphasizes skill development, whereas the specialist role centers on professional expertise.

What are some typical challenges faced by remote data labelling interns, and how can they be addressed?

Remote data labelling interns often encounter challenges such as managing repetitive tasks, maintaining high accuracy, and communicating effectively with team members across different time zones. To address these, it's helpful to establish a structured daily routine, regularly review quality guidelines, and use collaboration tools like Slack or Teams to stay connected. Seeking timely feedback from supervisors and participating in virtual team check-ins can also improve both efficiency and data consistency.

What is an Internship Remote Data Labelling job?

An Internship Remote Data Labelling job involves reviewing and tagging data—such as images, text, or audio—from a remote location to help train machine learning algorithms. Interns in this role classify, annotate, or categorize raw data according to specific guidelines provided by the employer or project. This work is crucial for improving the accuracy of AI models, as properly labeled data enables better learning outcomes. Remote data labelling internships are ideal for students or recent graduates looking to gain experience in AI, data science, or related fields while working from anywhere.
What are the most commonly searched types of Remote Data Labelling jobs in Florida? The most popular types of Remote Data Labelling jobs in Florida are:

Data Analyst, Private Markets

Canoe Intelligence

Jacksonville, FL • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 19 days ago


Job description

COMPANY: Canoe Intelligence

WEBSITE: https://canoeintelligence.com/

TITLE: Data Analyst, Private Markets

LOCATION: New York City or Jacksonville (Hybrid)

SALARY: $70,000 - $110,000 + Bonus and Equity (based on New York, will be adjusted for geo)

The Role:

You are an operations professional eager to grow your career at the intersection of private markets and cutting-edge AI. As a member of our Asset Data Team, you will apply your expertise in private market asset data to build, define, and execute on our product and service offering—while supporting day-to-day operations, ensuring data quality, and tackling the operational complexity of the private markets ecosystem.

You will work alongside team members to manage delivery through our onshore and offshore teams, contribute to the accuracy and efficiency of our platform, and partner closely with Asset Data leadership and Product Managers to help shape the future product roadmap. This is an exciting opportunity to develop deep subject matter expertise in underlying asset data, own core functionality, and drive meaningful improvements across service delivery and ongoing operations.

What You’ll Do:

Operational Support & Workflow Management:

  • Support Asset Data Processing Workflows: Assist in the intake, review, and processing of asset-level data—including cost basis, valuations, and operating metrics—ensuring data moves through the pipeline accurately and on time.

  • Monitor & Triage Exceptions: Review automated outputs, identify processing exceptions or anomalies, and escalate or resolve issues in coordination with senior operations staff.

  • Deliver Quality: Reconcile extraction data against source documents, manage conflicting data points, and maintain high standards across all client deliverables.

Subject Matter Expertise & Data Quality:

  • Be an SME: Be the go-to individual within Canoe's Asset Data team for underlying asset data points—including cost basis, valuations, and operating metrics—and support the manipulation and enrichment of such data.

  • Own Quality: Take charge of ensuring the highest standard of output for our asset data product offering, including standardizing asset-level data points across the platform.

  • Advocate for Standards: Champion best practices, perform quality checks, and drive consistency across the team to foster a culture of excellence.

  • Derive Insights: Perform analysis on data trends to inform our product and service offering, and flag patterns that can inform process improvements or automation opportunities.

Process Improvement & Product Development:

  • Continuous Improvement: Identify technology and process improvements to efficiently and effectively process asset data, and assist in refining operating procedures.

  • Document Operational Logic: Help capture and organize process notes, workflow rules, and exception-handling procedures to be shared across operations and product teams.

  • Cross-Functional Coordination: Work closely with Data, Product, and Engineering teams to communicate operational needs, contribute to asset data product roadmap discussions, and flag issues that require systemic fixes.

Collaboration & Client Support:

  • Manage Offshore Coordination: Support delivery through onshore and offshore team structures, ensuring asset data work is executed accurately and on schedule.

  • Client-Adjacent Support: Assist client-facing team members by preparing operational summaries and asset data quality reports that support client communications and onboarding.

What We’re Looking For:

  • Experience: 4+ years of experience in fund operations, fund administration, private market data, or a related financial services role. Internship experience in relevant fields will be considered.

  • Domain Knowledge: Strong familiarity with asset-level data points including, but not limited to, cost basis, valuations, and operating metrics, as well as capital calls, distributions, and fund financial statements.

  • Operational Mindset: Process-oriented and organized, with a proven ability to self-manage in a remote or hybrid work setting and balance individual focus with team collaboration.

  • Attention to Detail: You take accuracy seriously and understand that clean, reliable data is the foundation of everything we do.

  • Communication Skills: Strong communication, presentation, and interpersonal skills with the ability to work effectively across teams and time zones.

  • Comfort with Ambiguity: Comfortable navigating complex, fast-paced environments and uncovering answers to open-ended product and operational questions.

  • Technical Comfort: Comfortable working with structured data in Excel or similar tools. Exposure to SQL or data platforms is a bonus, but not required.

What You’ll Get:

  • Medical, dental, vision benefits

  • Flexible PTO

  • 401(k)

  • Flexible work from home policy

  • Home office stipend

  • Employee Assistance Program

  • Gym/Wifi reimbursement

  • Education assistance

  • Parental Leave

Our Values:

  • Client First —> Listen, and deliver client-centric solutions

  • Be An Owner —> Take initiative, improve situations, drive positive outcomes

  • Excellence —> Always set the highest standard for yourself and others

  • Win Together —> 1 + 1 = 3

Who We Are:

Canoe is reimagining alternative investment data processes for hundreds of leading institutional investors, capital allocators, asset servicing firms and wealth managers. By combining industry expertise with the most sophisticated data capture technologies, Canoe’s technology automates the highly-frustrating, time-consuming, and costly manual workflows related to alternative investment document and data management, extraction and delivery. With Canoe, clients can refocus capital and human resources on business performance and growth, increase efficiency, and gain deeper access to their data. Canoe’s AI-driven platform was developed in 2013 for Portage Partners LLC, a private investment firm.

Canoe is an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, 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 law.