Family Law Attorney - AI Trainer
Family Law Attorney - AI Trainer

Family Law Attorney - AI Trainer

Birmingham Full-Time 41 £ / hour No home office possible
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At a Glance

  • Tasks: Train AI models by solving complex legal problems and evaluating chatbot outputs.
  • Company: Join a forward-thinking team at the intersection of law and technology.
  • Benefits: Flexible remote work, choose your projects, and earn $40+ per hour with bonuses.
  • Why this job: Make a real impact on AI while utilising your legal expertise in a dynamic environment.
  • Qualifications: Must have a completed or in-progress law degree and fluency in English.
  • Other info: Work on your own schedule and enjoy diverse legal challenges.

We are looking for legal experts to join our team to train AI models. You will measure the progress of these AI chatbots, evaluate their logic, and solve problems to improve the quality of each model.

In this role you will need to hold an expert level of legal reasoning- must be a law school graduate.

We are interested in a wide range of expertise, so relevant backgrounds include: corporate law, criminal law, civil litigation, constitutional law, administrative law, environmental law, family law, intellectual property law, tax law, labor and employment law, immigration law, real estate law, health law, entertainment law, human rights law, international law, cybersecurity and privacy law, contract law, securities law, bankruptcy law, and alternative dispute resolution.

Benefits:

This is a full-time or part-time REMOTE position
You\’ll be able to choose which projects you want to work on
You can work on your own schedule
Projects are paid hourly from $50 to $60 per hour, with bonuses on high-quality and high-volume work

Responsibilities:

Give AI chatbots diverse and complex legal problems and evaluate their outputs
Evaluate the quality produced by AI models for correctness and performance

Qualifications:

Fluency in English (native or bilingual level)
Must be a law school graduate
Have at least 5+ years of law experience

Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD.

Job Types: Full-time, Part-time

Pay: £37.36-£44.84 per hour

Work Location: Remote

Family Law Attorney - AI Trainer employer: DataAnnotation

Join a forward-thinking team that values your legal expertise while offering the flexibility of remote work. With competitive hourly rates starting at $40 and the opportunity to select projects that align with your interests, this role fosters a supportive work culture that prioritises professional growth and innovation in the legal field.
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Contact Detail:

DataAnnotation Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Family Law Attorney - AI Trainer

✨Tip Number 1

Network like a pro! Reach out to your connections in the legal field and let them know you're on the lookout for opportunities. You never know who might have a lead or can put in a good word for you.

✨Tip Number 2

Get your online presence sorted! Make sure your LinkedIn profile is up-to-date and showcases your expertise in family law and AI training. Join relevant groups and engage with posts to get noticed.

✨Tip Number 3

Prepare for interviews by brushing up on common legal scenarios and how AI can be applied in those contexts. Practice articulating your thoughts clearly, as communication is key in this role.

✨Tip Number 4

Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step!

We think you need these skills to ace Family Law Attorney - AI Trainer

Legal Reasoning
AI Model Evaluation
Problem-Solving Skills
Fluency in English
Law Degree (completed or in progress)
Knowledge of Family Law
Knowledge of Corporate Law
Knowledge of Criminal Law
Knowledge of Civil Litigation
Knowledge of Constitutional Law
Knowledge of Administrative Law
Knowledge of Environmental Law
Knowledge of Intellectual Property Law
Knowledge of Tax Law
Knowledge of Labor and Employment Law

Some tips for your application 🫡

Show Off Your Legal Expertise: Make sure to highlight your legal background in your application. Whether it's family law or any other area, we want to see how your expertise can help us train our AI models.

Tailor Your Application: Don’t just send a generic application! Tailor your CV and cover letter to reflect the specific skills and experiences that align with the Family Law Attorney - AI Trainer role. We love seeing how you connect your experience to what we do.

Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that get straight to the heart of your qualifications and why you’re a great fit for us.

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows us you’re serious about joining our team!

How to prepare for a job interview at DataAnnotation

✨Know Your Legal Stuff

Make sure you brush up on your legal knowledge, especially in family law and any other relevant areas. Be prepared to discuss complex legal problems and how you would evaluate AI outputs in those contexts.

✨Showcase Your Problem-Solving Skills

During the interview, highlight your experience with problem-solving in legal scenarios. Think of specific examples where you've tackled challenging cases or improved processes, as this will demonstrate your ability to enhance AI models.

✨Familiarise Yourself with AI Concepts

Even though you're a legal expert, having a basic understanding of AI and how it works can set you apart. Research how AI chatbots function and be ready to discuss how you would approach training them effectively.

✨Ask Insightful Questions

Prepare thoughtful questions about the role and the projects you'll be working on. This shows your genuine interest in the position and helps you gauge if it's the right fit for you.

Family Law Attorney - AI Trainer
DataAnnotation
Location: Birmingham
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