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Remote Machine Learning Architect Jobs in Indiana

Recruitment Room

$20/hr

Remote Compensation: $20 per hour Openings: 600 Role Overview We are seeking detail-oriented Data ... Proficiency in data annotation, labeling, or preparation for machine learning * Exceptional ...

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Crowe LLP

Senior Salesforce Technical Architect

Elkhart, IN · Remote

$66 - $81.75/hr

Through various programs, we provide you with learning and reinvention through high-impact formal ... Remote We expect the candidate to uphold Crowe's values of Care, Trust, Courage, and Stewardship.

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Remote Machine Learning Architect information

How does a Remote Machine Learning Architect typically collaborate with distributed teams to deliver successful projects?

As a Remote Machine Learning Architect, effective collaboration with globally distributed teams is essential. You will often coordinate with data scientists, software engineers, and business stakeholders via virtual meetings, shared documentation, and project management tools. Regular communication, clear documentation of model designs, and version control practices are crucial to ensure alignment and smooth integration of machine learning solutions. Adopting agile methodologies and being proactive in addressing time zone differences help maintain project momentum and foster a productive team environment.

What is the difference between Remote Machine Learning Architect vs Data Scientist?

AspectRemote Machine Learning ArchitectData Scientist
Required CredentialsMaster's or PhD in CS, AI, or related fields; certifications in ML frameworksMaster's in Data Science, Statistics, or related; certifications in data analysis tools
Work EnvironmentDesigning ML systems, collaborating with engineering teams, remote or on-siteAnalyzing data, building models, often remote or in-office
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, tech

Remote Machine Learning Architects focus on designing and implementing scalable ML systems, while Data Scientists analyze data and build models. Both roles require advanced degrees and often overlap in skills, but their core responsibilities differ in scope and focus.

What is a Remote Machine Learning Architect?

A Remote Machine Learning Architect is a professional who designs, builds, and oversees machine learning systems and infrastructure while working remotely. They collaborate with data scientists, engineers, and stakeholders to define system architecture, select appropriate algorithms, and ensure scalable deployment of machine learning models. Their responsibilities include setting technical standards, optimizing workflows, and ensuring integration with existing IT infrastructure, all accomplished through remote communication and collaboration tools. This role requires strong expertise in machine learning, cloud platforms, and software engineering.

What are the key skills and qualifications needed to thrive as a Remote Machine Learning Architect, and why are they important?

To thrive as a Remote Machine Learning Architect, you need deep expertise in machine learning algorithms, model development, and a solid background in computer science or related fields, often supported by an advanced degree. Familiarity with cloud platforms (such as AWS, Azure, or GCP), deep learning frameworks (like TensorFlow or PyTorch), and relevant certifications are typically expected. Strong problem-solving, communication, and project management skills help you collaborate effectively with distributed teams and stakeholders. These skills and qualities are crucial for designing scalable ML solutions that drive business value in a remote work environment.
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Remote Machine Learning Architect jobs near you

Data Annotation Generalist

Recruitment Room

Remote

$20/hr

Contractor

Posted yesterday

Job description

Data Annotation Generalist

Contract Type: Hourly, Independent Contractor

Location: Remote

Compensation: $20 per hour

Openings: 600

Role Overview

We are seeking detail-oriented Data Annotation Generalists to support the training of next-generation AI systems. Your work will involve labeling, categorizing, and annotating diverse datasets to ensure accuracy, consistency, and high-quality input for machine learning models.

Key Responsibilities

  • Data Labeling: Annotate and categorize datasets with precision, following project guidelines.

  • Quality Assurance: Review and correct annotations to maintain data integrity.

  • Collaboration: Work with teams to clarify requirements and resolve ambiguities.

  • Documentation: Maintain clear records of annotation workflows.

  • Tool Feedback: Suggest improvements to annotation tools and processes.

  • Communication: Share insights and raise issues effectively through written and verbal channels.

  • Adaptability: Adjust to evolving instructions and new data types.

Required Skills Qualifications

  • Proficiency in data annotation, labeling, or preparation for machine learning

  • Exceptional attention to detail and accuracy

  • Strong written and verbal communication skills

  • Ability to interpret complex instructions consistently across large datasets

  • Experience with annotation tools or platforms used in AI development

  • Analytical mindset and problem-solving skills

  • Ability to work independently in a remote environment

Preferred Qualifications

  • Background in linguistics, computer science, or data science

  • Experience contributing to AI training or NLP projects

  • Familiarity with multiple data types (text, image, audio, video)