Salary for Mid-level / Intermediate Prompt Engineer during 2024

Salary details

The average mid-level / intermediate Prompt Engineer salary lies between USD 200,000 and USD 240,960 globally. It represents the overall compensation/gross salary amount for the working year (before deductions like social security, taxes and other contributions), not including equity/stock options or similar benefits.

All data shown are full-time equivalent (FTE) salaries. Part-time salary information has been extrapolated to its FTE value.

Last updated: Dec. 15, 2024

Top 20 Job Tags for Mid-level / Intermediate Prompt Engineer roles

The three most common job tag items assiciated with mid-level / intermediate Prompt Engineer job listings are Engineering, Prompt engineering and NLP. Below you find a list of the 20 most occuring job tags in 2024 and the number of open jobs that where associated with them during that period:

Engineering | 52 jobs Prompt engineering | 52 jobs NLP | 47 jobs Python | 42 jobs LLMs | 42 jobs Generative AI | 42 jobs Machine Learning | 28 jobs APIs | 26 jobs Azure | 25 jobs MongoDB | 23 jobs Flask | 23 jobs DevOps | 23 jobs LangChain | 23 jobs Streaming | 22 jobs Computer Science | 22 jobs Anthropic | 22 jobs Testing | 19 jobs Research | 13 jobs Linguistics | 12 jobs Privacy | 11 jobs

Top 20 Job Perks/Benefits for Mid-level / Intermediate Prompt Engineer roles

The three most common job benefits and perks assiciated with mid-level / intermediate Prompt Engineer job listings are Career development, Flex hours and Competitive pay. Below you find a list of the 20 most occuring job perks or benefits in 2024 and the number of open jobs that where offering them during that period:

Career development | 42 jobs Flex hours | 28 jobs Competitive pay | 26 jobs Flex vacation | 22 jobs Health care | 4 jobs Startup environment | 4 jobs Insurance | 4 jobs Equity / stock options | 3 jobs Parental leave | 3 jobs Transparency | 2 jobs Medical leave | 2 jobs Lunch / meals | 1 jobs Wellness | 1 jobs Signing bonus | 1 jobs Salary bonus | 1 jobs Home office stipend | 1 jobs

Salary Composition

The salary for a Mid-level/Intermediate Prompt Engineer in AI/ML/Data Science typically comprises a base salary, bonuses, and additional remuneration such as stock options or benefits. The base salary is the fixed component and usually forms the largest part of the total compensation package. Bonuses can vary significantly depending on the company's performance, individual performance, and industry standards. In tech hubs like Silicon Valley, bonuses might be more substantial compared to other regions. Additional remuneration often includes stock options, especially in startups or large tech companies, and benefits like health insurance, retirement plans, and paid time off. The composition can also vary by industry; for instance, finance and tech industries might offer higher bonuses compared to academia or non-profits. Company size also plays a role, with larger companies often providing more comprehensive benefits packages.

Increasing Salary

To increase your salary from a Mid-level/Intermediate Prompt Engineer position, consider the following strategies:

• Skill Enhancement: Continuously update your skills in AI/ML and data science. Specializing in emerging technologies or niche areas can make you more valuable.
• Advanced Education: Pursuing a master's or Ph.D. in a relevant field can open up higher-paying opportunities.
• Leadership Roles: Transitioning into a managerial or lead role can significantly boost your salary.
• Networking: Building a strong professional network can lead to opportunities in higher-paying companies or roles.
• Performance Excellence: Consistently exceeding performance expectations can lead to promotions and salary increases.

Educational Requirements

Most Mid-level/Intermediate Prompt Engineer roles require at least a bachelor's degree in computer science, data science, engineering, mathematics, or a related field. However, a master's degree is often preferred and can provide a competitive edge. The educational background should include a strong foundation in programming, statistics, and machine learning principles.

Helpful Certificates

While not always mandatory, certain certifications can enhance your profile and demonstrate your expertise:

• Certified Machine Learning Professional (CMLP)
• TensorFlow Developer Certificate
• AWS Certified Machine Learning – Specialty
• Microsoft Certified: Azure AI Engineer Associate
• Google Professional Machine Learning Engineer

These certifications can validate your skills and knowledge, making you more attractive to potential employers.

Required Experience

Typically, a Mid-level/Intermediate Prompt Engineer is expected to have 3-5 years of experience in AI/ML or data science roles. This experience should include hands-on work with machine learning models, data analysis, and programming. Experience with specific tools and platforms like TensorFlow, PyTorch, or cloud services (AWS, Azure, Google Cloud) is often required. Additionally, experience in a specific industry can be beneficial, as it provides domain knowledge that can be crucial for certain roles.

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