Top paying "AI Training" gig jobs in Feb 2026 that you can work on remotely
Top paying "AI Training" gig jobs in Feb 2026 that you can work on remotely
Software Engineer (Front-end) |Hourly contract | $70-$80 per hour
Ideal Qualifications
2+ years of experience in frontend/full-stack development or technical content creation
Degree in Software Engineering, Computer Science, or a related field (Bachelor's minimum; advanced degree preferred)
Strong proficiency in JavaScript, TypeScript, React, or vanilla JS
Comfortable writing precise technical specifications and evaluation criteria
Software Engineer (Code QA) | Hourly contract | $70-$120 per hour
Ideal Qualifications
2+ years of experience in software engineering, technical research, or educational content development
Degree in Software Engineering, Computer Science, or a related field (Bachelor’s minimum; advanced degree preferred)
Strong proficiency in languages like Python, JavaScript, Java, or C++
Experience with debugging, testing, and validating code
Comfortable with technical writing and attention to detail
Software Expert (Office Suite) | Hourly contract | $100 per hour
You have strong familiarity with professional software tools used in your domain including:
Word
PowerPoint
Excel
You are detail-oriented and capable of following precise instructions
You are comfortable working independently and meeting tight deadlines
Who You Are
Data Science Expert | $50-$90 per hour
Ideal Qualifications
3+ years of experience in data science, machine learning, or a related analytical field.
Proficiency in Python and key data science libraries (e.g., pandas, NumPy, scikit-learn).
Familiarity with large-scale data environments and version-controlled workflows.
Strong command of statistical analysis, experimental design, and model validation.
Clear written communication and comfort collaborating across technical teams.
3+ years of experience in data science, machine learning, or a related analytical field.
Proficiency in Python and key data science libraries (e.g., pandas, NumPy, scikit-learn).
Familiarity with large-scale data environments and version-controlled workflows.
Strong command of statistical analysis, experimental design, and model validation.
Clear written communication and comfort collaborating across technical teams.
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