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Per Diem Remote Data Annotation Jobs in Texas (NOW HIRING)

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Per Diem Remote Data Annotation information

What are the key skills and qualifications needed to thrive as a per diem remote data annotation?

To thrive as a Per Diem Remote Data Annotation Specialist, you need strong attention to detail, proficiency in data analysis, and often a background in relevant fields such as computer science, linguistics, or related areas. Familiarity with data labeling platforms, annotation software, and sometimes specific machine learning tools or guidelines is typically required. Excellent time management, clear communication, and the ability to work independently are valuable soft skills in this role. These skills help ensure accurate data labeling, which is crucial for training high-quality AI models and maintaining project efficiency.

What is a per diem remote data annotation?

Per Diem Remote Data Annotation jobs involve labeling, tagging, or categorizing data such as images, text, or audio on a flexible, as-needed (per diem) basis from a remote location. Workers in these roles help train machine learning models by providing accurate and consistent annotations. This type of job is ideal for individuals seeking flexible schedules, as work assignments are typically offered based on demand and availability. Per diem annotators are often paid per task or per hour, and the work can be done from home with a computer and internet connection.

What is the difference between Per Diem Remote Data Annotation vs Per Diem Remote Data Labeling?

AspectPer Diem Remote Data AnnotationPer Diem Remote Data Labeling
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote, flexible hours
Industry UsageTech, AI, machine learningTech, AI, machine learning
Job FocusAdding annotations to data (e.g., bounding boxes, segmentation)Assigning labels to data (e.g., categories, tags)

Both roles involve working remotely with similar credentials, but data annotation focuses on adding detailed markings to data, while data labeling involves categorizing data. Understanding these differences helps job seekers find the right position aligned with their skills and career goals.

What are the typical challenges faced by per diem remote data annotation professionals, and how can they be addressed?

Per Diem Remote Data Annotation professionals often encounter challenges such as maintaining consistent annotation quality, managing fluctuating workloads, and staying up-to-date with changing annotation guidelines. Since the role is remote and per diem, clear communication with project managers and proactive time management are essential. Utilizing provided training materials, participating in quality assurance feedback sessions, and connecting with other annotators through team channels can help overcome these challenges and ensure high-quality, accurate work.
What are the most commonly searched types of Remote Data Annotation jobs in Texas? The most popular types of Remote Data Annotation jobs in Texas are:
What cities in Texas are hiring for Per Diem Remote Data Annotation jobs? Cities in Texas with the most Per Diem Remote Data Annotation job openings:
Per Diem Remote Data Annotation jobs near you

CFD & Aerodynamic Engineer (AI Training & Evaluation)

Lifted, an Upwork Company™

Houston, TX • On-site, Remote

$80 - $110/hr

Contractor

Posted 11 days ago

Job description

Company Description
An enterprise client is seeking CFD & Aerodynamic Engineers to help train and evaluate next-generation AI systems by contributing real-world engineering expertise.
This opportunity is offered by a leading AI data platform that enables organizations to build intelligent applications powered by high-quality human expertise.
Job Description
This opportunity is ideal for experienced CFD and Aerodynamics Engineers who enjoy solving complex engineering problems and want to contribute their expertise to the development of advanced AI systems.
What You'll Do:
  • Design compact, self-contained CFD and aerodynamics tasks that evaluate AI models' engineering reasoning.
  • Create clear and technically accurate problem statements covering topics such as boundary conditions, mesh quality, flow regimes, and simulation setup.
  • Develop deterministic scoring checkers that objectively evaluate AI-generated responses.
  • Produce verified reference solutions to ensure each task is technically accurate and fully solvable.
  • Review and refine engineering tasks to improve clarity, physical accuracy, and appropriate difficulty.
  • Apply real-world experience with OpenFOAM to develop practical and realistic engineering scenarios.
  • Work independently in a fully remote, asynchronous environment with complete scheduling flexibility.

Qualifications
Requirements:
  • Bachelor's degree (or higher) in Aerospace Engineering, Mechanical Engineering, or a closely related discipline.
  • Hands-on experience using OpenFOAM for computational fluid dynamics simulations.
  • Strong foundation in fluid mechanics, aerodynamics, and heat transfer principles.
  • Experience with:
    • Mesh generation
    • Turbulence modeling
    • Boundary condition specification
    • Post-processing and simulation analysis
  • Ability to write clear, precise, and objectively verifiable engineering problems.
  • Excellent written English communication skills with the ability to explain complex technical concepts clearly.
  • Self-motivated, detail-oriented, and able to work independently with minimal supervision.

Nice to Haves:
  • Experience working on aerospace, automotive, motorsports, renewable energy, or industrial CFD applications.
  • Familiarity with advanced CFD validation and verification techniques.
  • Experience reviewing technical documentation or engineering research.
  • Previous experience contributing to AI, simulation, or data annotation projects.

Additional Information
  • Fully remote, independent contractor opportunity.
  • Flexible schedule with an expected workload of 10-39 hours per week, depending on project demand.
  • Compensation ranges from $80-$110 USD per hour, based on qualifications and experience.
  • Payments are issued weekly for completed work from the previous week.
  • If selected, you will receive an Upwork contract offer along with onboarding instructions for the client's task platform.
  • To be considered, candidates must:
    • Submit an Upwork proposal.
    • Complete the required Google Form.
    • Accept the Upwork contract to receive onboarding instructions, assessment access, and project payments.
  • Due to the high volume of applicants, only shortlisted candidates will be contacted.

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