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Neuro Linguistic Programming Jobs (NOW HIRING)

galore staffing

This position involves using deep learning, neuro-linguistic programming (NLP), computer vision, chat bots, and robotics to assist internal teams in driving diverse business outcomes and fostering ...

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$44.5K

$70.9K

$99K

How much do neuro linguistic programming jobs pay per year?

As of Jun 7, 2026, the average yearly pay for neuro linguistic programming in the United States is $70,857.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,000.00 and $88,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Neuro Linguistic Programming position, and why are they important?

To thrive as a Neuro Linguistic Programming (NLP) Practitioner, you typically need training in NLP methodologies, a relevant certification from a recognized NLP organization, and an understanding of psychology or coaching principles. Familiarity with established NLP frameworks, client management tools, and ongoing professional development courses is common in this field. Strong interpersonal skills, active listening, and the ability to build rapport are key soft skills for success. These qualifications enable practitioners to effectively facilitate behavioral change, communicate clearly, and support clients towards their personal or professional goals.

What is a Neuro Linguistic Programming job?

A Neuro Linguistic Programming (NLP) job typically involves using NLP techniques to help individuals improve communication, personal development, and behavioral change. Professionals in this field may work as coaches, therapists, consultants, or trainers, applying NLP principles in areas like business, therapy, or self-improvement. They use techniques such as reframing, anchoring, and modeling excellence to help clients achieve goals. NLP practitioners may work independently or within organizations to enhance performance, leadership, and personal growth.

What are the common challenges faced by a Neuro Linguistic Programming Practitioner, and how can they be managed?

A common challenge for NLP Practitioners is adapting techniques to suit individual client needs, as each person's experiences and responses can vary greatly. Overcoming client skepticism or resistance to change can require patience and advanced communication abilities. Building trustful relationships and ongoing self-education in emerging NLP methods are crucial for successful client outcomes. Practitioners often benefit from regular supervision, peer networks, and participating in continuing education to refine their approach and stay current in the field.

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Neuro Linguistic Programming jobs near you
Artificial Intelligence Engineer (Remote)

Artificial Intelligence Engineer (Remote)

Eazifunds

San Francisco, CA • On-site, Remote

Full-time

Posted 19 days ago

Job description

The Role:
We’re looking for an experienced artificial intelligence engineer to join the revolution, using deep learning, neuro-linguistic programming (NLP), LLM, computer vision, robotic process automation, human in the loop, decision-making engines, chatbots, and robotics to help us improve various business outcomes and drive innovation. The engineer will join a multidisciplinary team helping to shape our AI strategy and showcasing the potential for AI through early-stage solutions. This is an excellent opportunity to take advantage of emerging trends and technologies and make a real-world difference.

Objectives of this role:
1. Manage and direct processes and R&D (research and development) to meet the needs of our AI strategy
2. Understand company and client challenges and how integrating AI capabilities can help lead to solutions
3. Lead cross-functional teams in identifying and prioritizing key areas of a partner’s business where AI solutions can drive significant business benefit
4. Analyze and explain AI and machine learning (ML) solutions while setting and maintaining high ethical standards
Responsibilities:
1. Advise C-suite executives and business leaders on a broad range of technology, strategy, and policy issues associated with AI
2. Work on functional design, process design (including scenario design and flow mapping), prototyping, testing, training, and defining support procedures in collaboration with an advanced engineering team and executive leadership
3. Articulate and document the solutions architecture and lessons learned for each exploration and accelerated incubation
4. Manage a team in conducting assessments of the AI and automation market and competitor landscape
5. Serve as liaison between stakeholders and project teams, delivering feedback and enabling team members to make necessary changes in product performance or presentation
Requirement skills and qualifications:
1. Two or more years of experience in applying AI to practical and comprehensive technology solutions
2. Experience with ML, deep learning, TensorFlow, Python, and NLP
3. Experience in program leadership, governance, and change enablement
5. Knowledge of basic algorithms, object-oriented and functional design principles, and best-practice patterns
6. Experience in REST API development, NoSQL database design, and RDBMS design and optimization
Plus:
1. A bachelor's or master's degree in computer science or related field
2. Experience with innovation accelerators
3. Experience with cloud environments
What we can offer:
1. Salary
2. Stock options
3. Performance-Based Bonus
4. Employee Benefits

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