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How to source and shortlist {role_name}

Hiring guide

About {role_name}

Job description

Source and shortlist candidates

Structured interview

Progression and salary

Where can you find qualified {role_name}?

  • Professional network
    • Leverage your professional network and reach out to former colleagues, industry peers, and tech community members to ask for referrals.
  • Educational Institutions:
    • Engage with top institutions known for AI research
    • Collaborate with or recruit from AI research labs at universities or specialized institutions.
  • Company Career Pages:
    • Your Company’s Career Page: Ensure it is optimized for SEO to attract AI Researcher candidates. Highlight the innovative projects and the impact of AI within your organization.
  • Role-Specific Job Boards:
    • AI-specific job boards:
    • General tech job boards:
      • Indeed
      • Glassdoor
  • Geography-Specific Job Boards:

What are the best practices for headhunting {role_name}?

  • Engage in AI Communities: Participate in AI forums, meetups, and online communities like AI Alignment or AI Hub. Engaging with these communities can help you identify and connect with passive candidates.
  • Leverage Referrals: Ask your current AI and tech team members for referrals. AI Researchers are often connected to others in the field and can recommend qualified candidates.
  • Personalized Outreach: Tailor your communication to each candidate. Highlight their specific achievements or publications in your outreach message to show that you’ve done your homework.

"Find Talent Quickly" – Leverage Headhunting and Referrals

Learn More  ->Get a demo

How to shortlist candidates?

Once you have started to get applications from applicants, a thorough screening process and shortlisting of prospects will help you make the most of your time spent with the most qualified ones. 

Automated shortlisting tools :

Automated screening quickly filters out unqualified candidates, saving time for manual review. This allows the manual process to focus on the most promising candidates, ensuring the best ones are considered for further evaluation.

Screening questions to auto-shortlist based on predefined criteria

like qualifications, location, experience, and skills. Either use job board or use an ATS such as whitecarrot. Here are some questions for {role_name}

  • Experience with AI and Machine Learning:
    • Question: "How many years of experience do you have with AI and Machine Learning technologies?"
    • Auto-Reject Criteria: Less than 2 years of experience.
  • Experience in Related Technology:
    • Question: "How many years of experience do you have in programming with Python or R?"
    • Auto-Reject Criteria: Less than 3 years of programming experience.
  • Location Flexibility:
    • Question: "Are you located within [specified location] or willing to work remotely?"
    • Auto-Reject Criteria: Not located within the required area and unwilling to work remotely.

Skill based question to auto shortlist candidate

Analyze the skill test data to automatically shortlist top-performing applicants. (recommended screening test time - 15 minutes). Here are some skill test questions for {role_name}

Machine Learning

Assessing the candidate's knowledge of machine learning principles.

  • Question: "Which algorithm is typically used for classification problems?"
    • A) Linear Regression
    • B) Decision Trees
    • C) K-Means Clustering
    • D) Apriori
    • Correct Answer: B) Decision Trees
  • Question: "What is overfitting in machine learning?"
    • A) When the model performs well on training data but poorly on new data
    • B) When the model performs poorly on training data but well on new data
    • C) When the model performs well on both training and new data
    • D) When the model cannot make any predictions
    • Correct Answer: A) When the model performs well on training data but poorly on new data
  • Question: "Which of the following is a technique to prevent overfitting?"
    • A) Increasing the size of the training dataset
    • B) Reducing the size of the training dataset
    • C) Decreasing the number of features
    • D) Using a less complex model
    • Correct Answer: A) Increasing the size of the training dataset

Deep Learning

Evaluating the candidate’s understanding of deep learning concepts.

  • Question: "What is a convolutional neural network (CNN) primarily used for?"
    • A) Natural language processing
    • B) Image recognition
    • C) Time series forecasting
    • D) Reinforcement learning
    • Correct Answer: B) Image recognition
  • Question: "What does backpropagation in a neural network involve?"
    • A) Forward passing the input data
    • B) Adjusting the weights based on the error gradient
    • C) Initializing weights and biases
    • D) Collecting data for the network
    • Correct Answer: B) Adjusting the weights based on the error gradient
  • Question: "Which activation function is most commonly used in deep learning models?"
    • A) Sigmoid
    • B) Tanh
    • C) ReLU (Rectified Linear Unit)
    • D) Softmax
    • Correct Answer: C) ReLU (Rectified Linear Unit)

Data Analysis

Testing the candidate’s data analysis capabilities.

  • Question: "Which method is used to identify patterns in a dataset?"
    • A) Normalization
    • B) Clustering
    • C) Sorting
    • D) Filtering
    • Correct Answer: B) Clustering
  • Question: "What is the purpose of cross-validation in model evaluation?"
    • A) To split the dataset into training and test sets
    • B) To assess how the model generalizes to an independent dataset
    • C) To optimize hyperparameters
    • D) To reduce overfitting
    • Correct Answer: B) To assess how the model generalizes to an independent dataset
  • Question: "Which Python library is most commonly used for data manipulation?"
    • A) NumPy
    • B) Pandas
    • C) SciPy
    • D) Matplotlib
    • Correct Answer: B) Pandas

Note - Auto reject candidates if scores less than 70% in this section

One way video interview

Recruitment Bullet

Use tools like hirevue, whitecarrot.io to ask candidates pre-recorded questions about their experience and skills.

Recruitment Bullet

Use sample question given in scorecard.

Collect other information 

Recruitment Bullet

Collect data from shortlisted candidates, such as salary expectations and visa status.

"Shortlist in Seconds" – Use our CV scoring feature to get top candidate recommendation

Learn More  ->Get a demo

Manual candidate profile shortlisting:

Recruitment Bullet

Thoroughly review the CVs of the top scoring candidates from the automated process

Recruitment Bullet

Look for evidence of the required skills, experience, and achievements

Recruitment Bullet

Review the candidate’s portfolio or GitHub repositories to see examples of their work.

Schedule recruiter calls with the candidate

Recruitment Bullet

Use a tool like calendly or whitecarrot to allow candidates to self-schedule calls based on your availability

Recruitment Bullet

Confirm the call details (date, time, dial-in info) with the candidate via email

What questions to ask in the recruiter phone screen?

Recruitment Bullet

 Use scorecard for rating candidates for recruiter

Recruitment Bullet

Sample scorecard : 

Criteria Sample Question Rating (1-5) Comments
Technical Skills Explain a recent project where you used deep learning techniques.
Problem-Solving Describe a time when you solved a complex problem using AI.
Communication How do you explain complex AI concepts to non-technical stakeholders?
Cultural Fit Why do you want to work with our company, and how do you align with our mission?
Attention to Detail Give an example of how attention to detail helped you succeed in an AI project.
Recruitment Bullet

Check for consistency in responses from the candidates.

Recruitment Bullet

Record such scorecards in an ATS like whitecarrot or use google doc

Frequently Asked Questions?

Most common skills to look for in an AI Researcher?

Key skills include proficiency in machine learning algorithms, programming languages like Python, data analysis, statistical modeling, and strong problem-solving abilities. Familiarity with AI frameworks such as TensorFlow or PyTorch is also beneficial.

How do I keep AI Researcher candidates engaged during the sourcing and shortlisting phase?

Maintain regular communication through updates, share insights about the company culture, and provide information on the research projects they would be involved in. Personalize interactions to make candidates feel valued.

How can I assess cultural fit during the shortlisting process for AI Researcher?

Use behavioral interview questions that reflect your company values, assess their collaboration style in team settings, and gauge their alignment with your organization’s mission. Consider involving team members in the interview process.

Hiring guide

About {role_name}

Job description

Source and shortlist candidates

Structured interview

Progression and salary