Full Stack Academy
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.
Instructor, AI/Machine Learning – NLP & Audio Analytics
Job not on LinkedIn
🕒 March 2
📊 Check your resume score for this job
Improve your chances of getting an interview by checking your resume score before you apply.
Full Stack Academy
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.
Apply Now
