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Internship Remote Data Labelling Jobs in Missouri

Jobgether

Fully remote working opportunity. * Competitive hourly compensation based on experience and ... Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process ...

GRVTY

Imagery Scientist (EO) - Senior

Saint Louis, MO · On-site +1

$160K - $190K/yr

... data standards or to be transformed into a usable state for labeling and model testing purposes ... Remote sensing phenomenology * Image formation processes * Exploitation products and methodologies

Lodestar Consulting, Inc.

Accounting Analyst

Saint Louis, MO · On-site +1

$58K - $76K/yr

... accounting internship(s) * Good analytical and problem-solving skills * Experience in data ... There are some remote positions. Salary commensurate with experience. Travel and relocation ...

GRVTY

Imagery Scientist (EO)- Expert

Saint Louis, MO · On-site +1

$180K - $210K/yr

Data formats * APIs and ETL processes * Existing operational pipelines * Develop strategies to ... Labeling * Model testing * Advanced exploitation workflows * Investigate gaps in emerging EO sensor ...

UMB Financial

IT Blockchain Intern

Kansas City, MO · On-site +1

$25K - $49K/mo

This role is hybrid (Mon through Thu on-site / Fri remote) at the UMB Technology & Operations ... Relevant coursework, internship or project experience related to blockchain, fintech or digital ...

All JobsData Labelling JobsInternship Remote Data Labelling JobsInternship Remote Data Labelling Jobs in Missouri

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.
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Internship Remote Data Labelling jobs near you

Analyst (Current Student - Remote)

Fireclay Partners

Kansas City, MO • Remote

Temporary

Re-posted 22 days ago

Job description

Investment Banking Analyst (Part-Time / During Academic Year)

Fireclay Partners offers a high-impact remote internship experience for motivated college students interested in investment banking and private markets advisory. Our analyst internship program is designed to immerse students in real-world deal work and business development activities while accommodating their academic schedules. Interns become valued contributors to active projects, gaining direct exposure to M&A processes, financial analysis, and strategic advisory in a collaborative and entrepreneurial environment.

Key Responsibilities

As a remote Investment Banking Analyst, you will work closely with senior team members on a variety of tasks, including:

  • Assisting in the creation of pitch materials, information memoranda, buyer lists, and data room content for live and prospective transactions.

  • Conducting market and competitive research to support business development and deal execution.

  • Preparing financial analyses and company valuations using methods such as precedent transactions, public comparables, and discounted cash flow (DCF).

  • Supporting outreach initiatives to private equity firms and strategic acquirers.

  • Helping organize internal tracking systems and reporting tools to monitor pipeline and client engagements.

Ideal Candidate Qualifications

We look for high-performing college students who are intellectually curious, detail-oriented, and eager to learn:

  • Strong academic performance in a Finance, Accounting, Economics, or related major.

  • Excellent proficiency in Microsoft Excel and PowerPoint.

  • Strong communication skills and professional writing ability.

  • Self-starter mindset with the ability to manage remote work independently and meet deadlines.

  • Demonstrated interest in investment banking, M&A, private equity, or corporate finance.

This internship is structured to align with academic calendars and is designed to offer students meaningful work experience, mentorship, and insight into a career in investment banking.

Employment Type: TEMPORARY

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