$V$ is a vector space over $\mathbb{C}$, and we have distinct $\lambda_i \in V^*$ for $1 \leq i \leq n$. I'm trying to find (or just prove the existence of) a $v \in V$ such that $\lambda_i(v)$ are all distinct.
For the vector space in question, I don't think there are any restrictions on the dimension. I've thought about this for a while and can't think of a reason why this is true. If $V$ has dimension $n$, then if the $\lambda_i$'s are linearly independent, we should be able to find a vector $v$ such that $\lambda_i(v) = i$ as this becomes an invertible matrix equation.
I have some intuition for why it is true for other cases. If the $\lambda_i$'s are not linearly independent, we can set a maximal linearly independent subset to be equal to a bunch of distinct numbers such that somehow none of the linear dependence equations give something that is equal. I kind of see why we can do this, but not fully and definitely can't prove it.
Can someone help prove this fact? Thanks!
Your observation is correct!
To prove it, we first note that we can reframe the question as follows. Let $T:V \to \Bbb C^n$ denote the linear map given by $$ T(v) = (\lambda_1(v),\dots,\lambda_n(v)). $$ Let $T(V)$ denote the range of $T$. Let $U_{ij} \subset \Bbb C^n$ denote the subspace $$ U_{ij} = \{(x_1,\dots,x_n) \in \Bbb C^n : x_i = x_j\}. $$ Note that $T(V)$ is a subspace of $U_{ij}$ for some $i,j$ if and only if $\lambda_i = \lambda_j$. On the other hand, the statement that there exists a $v$ such that all values of $\lambda_i(V)$ are distinct is equivalent to the statement that $T(V)$ is not a subset of the union $U = \bigcup_{1 \leq i,j \leq n} U_{ij}$ of these subspaces. With that in mind, it suffices to use/show the following statement
To prove this, we use the following lemma.
This lemma is proved here, for instance.
Proof of claim: If $W \subset \bigcup_{i=1}^n U_i$, then it follows that $$ W = \bigcup_{i=1}^k (W \cap U_i). $$ However, $W \cap U_i$ is a subspace of $W$. Thus, by the lemma, there exists a $j$ such that $W \cap U_j = W$, which is to say that $W \subset U_j$, which was what we wanted.