Instructor, AI/Machine Learning – NLP & Audio Analytics

Job not on LinkedIn

🕒 March 2

🇺🇸 United States – Remote

💵 $50 - $55 / hour

⏱ Part Time

🟠 Senior

🔴 Lead

🤖 Machine Learning Engineer

👻 Ghost score 35%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Full Stack Academy

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2012

📚 Education

Education

Full Stack Academy is a renowned institution that offers a variety of tech bootcamps to equip students with skills in software engineering, cybersecurity, data analytics, and artificial intelligence. The academy provides full-time and part-time programs tailored to meet the needs of individuals seeking a career in tech. With a commitment to inclusion and personal growth, Full Stack Academy supports students with career success resources and has a strong network of partners interested in hiring its graduates, such as Google, Amazon, and Facebook. The academy is known for its intensive, hands-on learning environment and offers courses that are suitable for beginners and experienced learners alike.

📋 Description

• Conduct live, instructor-led online classes • Deliver coding demos, assisted practices, and projects • Address learner queries and ensure engagement

🎯 Requirements

• 10+ years of hands-on experience in NLP and/or Audio Analytics • Strong Python and ML/DL skills • Prior online/classroom training experience

🏖️ Benefits

• **Compensation:** • The expected compensation for this role for candidates from United States is $50 -$55 per hour for candidates who fulfill the qualifications for the role. Candidates whose qualifications are above those listed are encouraged to apply as well. All final offers to candidates will be based on that candidate's unique experience and skillset, and not all candidates will qualify for the top of the salary range.