Key Skills to Look, Before Hire Freelance Natural Languages Processing Specialists.

• Proven experience as an NLP Engineer.
• Understanding NLP techniques for text representation semantic extraction techniques, data structures and modeling. 
• Ability to effectively design software architecture.
• Deep understanding or text representation techniques, statistics and classification of algorithms. 
• Knowledge of Python, Java and R programming languages.
• Ability to write robust and testable codes. 
• Experience with machine learning frameworks and libraries.
• Strong communication skills 
• An analytical mind with problem-solving abilities.

Roles and Responsibilities of Natural Languages Processing Specialists?

• Study and transform data science prototypes 
• Design NLP applications 
• Select appropriate annotated datasets for Supervised Learning methods. 
• Use effective text representations to transform natural language into useful features. 
• Find and implement the right algorithms and tools for NLP tasks. 
• Develop NLP Systems according to requirements. 
• Train the developed model and run evaluation experiments 
• Perform statistical analysis of results and refine models. 
• Extend ML libraries and frameworks to apply in NLP tasks. 
• Remain updated in the rapidly changing field of machine learning 

What are the Interview questions for Natural Languages Processing Specialists?

1. What is part of speech (POS) tagging? What is the simplest approach to building a POS tagger that you can imagine?
2. How would you build a POS tagger from scratch given a corpus of annotated sentences? How would you deal with unknown words?
3. How would you train a model that identifies whether the word “Apple” in a sentence belongs to a fruit or the company?
4. How would you find all the occurrences of quoted text in a news article?
5. How would you build a system that auto corrects text that has been generated by a speech recognition system?

How to Hire the Best Freelance Natural Languages Processing Engineers?

1. Set your goals- you should identify your goals you want them to achieve. This will help you determine what type of Natural Languages Processing Engineers you need and what qualifications they should have.
2. Identify your needs - the next step is to determine what your project needs from the Natural Languages Processing Engineers. By gathering and knowing this information it will now help you to establish a list of potential candidates.
3. Research and Find Potential Candidates - once you understand your goals, target audience and desired outcomes, you can now start researching potential Natural Languages Processing Engineers who will fit for the role and will make your project into success. 
4. Create a job posting that outlines the Scope of Work and Compensation - this is an additional step to finding a skilled candidate. You should write an appealing job posting to get noticed. 
5. Review Applications and Portfolios to Identify the Best Candidates - To ensure the best results, you should be able to take a thorough approach when reviewing applications, testimonials and portfolios. 
6. Schedule Interview - when you’ve gathered all the information you need from the candidates, you are now ready to schedule an interview with your top choices and it will allow you to get to know them better. 
7. Make a final decision and extend an offer - You can now make an offer to the chosen Natural Languages Processing Engineers after careful consideration and thorough review. Making sure that the chosen Natural Languages Processing Engineers best fits the role and will be able to help and contribute to the growth or your organisation. 

What Challenges will you face when hiring Natural Languages Processing Specialists?

• Domain-specific languages.
• Colloquialisms and slang 
• Errors in text and speech
• Ambiguity
• Irony and Sarcasm 
• Synonyms
• Contextual words and phrases and harmonyms 

How do you negotiate rates and terms with your freelance Natural Languages Processing Specialists?

1. Do your Research - You should understand the market rates of Natural Languages Processing Engineers, their level of expertise and the type of project they require. Every different expertise demands different pay rates. This will always give you a good starting point for negotiations. 
2. Set a Budget - You should have a clear budget in mind based on the existing skills, experience and knowledge of a Natural Languages Processing Engineer. This will help them stay within your financial limits while still providing fair compensation. 
3. Focus on Value, not Price - you should always consider the value a Natural Languages Processing Engineer brings to their project instead of focusing on the cost. High quality may cost much, but it can always deliver better results, saving time and money in the long run, 
4. Be clear about your requirements - you should clearly outline the scope of work, deadlines, content guidelines and any added expectations. This will help Natural Languages Processing Engineers to understand your expectations and allow them to provide more accurate information. 
5. Establish Long-Term Relationships - you should be able to offer more work or even bring them on full-time. This can provide Natural Languages Processing Engineers more stable income. 
6. Make payment terms clear - when discussing agreement on rates, client’s should also discuss other things such as payments platforms, upfront payments, milestone payments and payment upon completion. Natural Languages Processing Engineers may be more willing to negotiate rates if the payment terms are clear and well discussed.